Gotowe bibliografie tematyczne / Movement-based signal

Gotowa bibliografia na temat „Movement-based signal”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 31 stycznia 2023

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Artykuły w czasopismach na temat "Movement-based signal"

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Liang, Sensong, Jiansheng Peng i Yong Xu. "Passive Fetal Movement Signal Detection System Based on Intelligent Sensing Technology". Journal of Healthcare Engineering 2021 (25.08.2021): 1–11. http://dx.doi.org/10.1155/2021/1745292.

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Fetal movement (FM) is an essential physiological parameter to determine the health status of the fetus. To address the problems of harrowing FM signal extraction and the low recognition rate of traditional machine learning classifiers in FM signal detection, this paper develops a passive FM signal detection system based on intelligent sensing technology. FM signals are obtained from the abdomen of the pregnant woman by using accelerometers. The FM signals are extracted and identified according to the clinical nature of the features hidden in the amplitude and waveform of the FM signals that fluctuate in duration. The system consists of four main stages: (i) FM signal preprocessing, (ii) maternal artifact signal preidentification, (iii) FM signal identification, and (iv) FM classification. Firstly, Kalman filtering is used to reconstruct the FM signal in a continuous low-amplitude noise background. Secondly, the maternal artifact signal is identified using an amplitude threshold algorithm. Then, an innovative dictionary learning algorithm is used to construct a dictionary of FM features, and orthogonal matching pursuit and adaptive filtering algorithms are used to identify the FM signals, respectively. Finally, mask fusion classification is performed based on the multiaxis recognition results. Experiments are conducted to evaluate the performance of the proposed FM detection system using publicly available and self-built accelerated FM datasets. The classification results showed that the orthogonal matching pursuit algorithm was more effective than the adaptive filtering algorithm in identifying FM signals, with a positive prediction value of 89.74%. The proposed FM detection system has great potential and promise for wearable FM health monitoring.
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Peters, Richard A. "Environmental motion delays the detection of movement-based signals". Biology Letters 4, nr 1 (30.10.2007): 2–5. http://dx.doi.org/10.1098/rsbl.2007.0422.

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Animal signals are constrained by the environment in which they are transmitted and the sensory systems of receivers. Detection of movement-based signals is particularly challenging against the background of wind-blown plants. The Australian lizard Amphibolurus muricatus has recently been shown to compensate for greater plant motion by prolonging the introductory tail-flicking component of its movement-based display. Here I demonstrate that such modifications to signal structure are useful because environmental motion lengthens the time lizard receivers take to detect tail flicks. The spatio-temporal properties of animal signals and environmental motion are thus sufficiently similar to make signal detection more difficult. Environmental motion, therefore, must have had an influence on the evolution of movement-based signals and motion detection mechanisms.
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Td New, Shaun, i Richard A Peters. "A framework for quantifying properties of 3-dimensional movement-based signals". Current Zoology 56, nr 3 (1.06.2010): 327–36. http://dx.doi.org/10.1093/czoolo/56.3.327.

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Abstract Understanding how signal properties are optimized for the reliable transmission of information requires accurate description of the signal in time and space. For movement-based signals where movement is restricted to a single plane, measurements from a single viewpoint can be used to consider a range of viewing positions based on simple geometric calculations. However, considerations of signal properties from a range of viewing positions for movements extending into three-dimensions (3D) are more problematic. We present here a new framework that overcomes this limitation, and enables us to quantify the extent to which movement-based signals are view-specific. To illustrate its application, a Jacky lizard tail flick signal was filmed with synchronized cameras and the position of the tail tip digitized for both recordings. Camera alignment enabled the construction of a 3D display action pattern profile. We analyzed the profile directly and used it to create a detailed 3D animation. In the virtual environment, we were able to film the same signal from multiple viewing positions and using a computational motion analysis algorithm (gradient detector model) to measure local image velocity in order to predict view dependent differences in signal properties. This approach will enable consideration of a range of questions concerning movement-based signal design and evolution that were previously out of reach.
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Ban, Dahee, Syed Shahid i Sungoh Kwon. "Movement Noise Cancellation in Second Derivative of Photoplethysmography Signals with Wavelet Transform and Diversity Combining". Applied Sciences 8, nr 9 (1.09.2018): 1531. http://dx.doi.org/10.3390/app8091531.

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In this paper, we propose an algorithm to remove movement noise from second derivative of photoplethysmography (SDPPG) signals. SDPPG is widely used in healthcare applications because of its easy and comfortable measurement. However, an SDPPG signal is vulnerable to movement, which degrades the signal. Degradation of SDPPG signal shapes can result in incorrect diagnosis. The proposed algorithm detects movement noise in a measurement signal using wavelet transform, and removes movement noise by selecting the best signal from among multiple signals measured at different locations. Experiment results show that the proposed algorithm outperforms the previous filter-based algorithm, and that movement noise with 30% time duration can be reduced by up to 70.89%.
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Rahul, Yumlembam, i Rupam Kumar Sharma. "EEG Signal-Based Movement Control for Mobile Robots". Current Science 116, nr 12 (25.06.2019): 1993. http://dx.doi.org/10.18520/cs/v116/i12/1993-2000.

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Turnip, Arjon, Grace Gita Redhyka, Hilman S. Alam i Iwan R. Setiawan. "An Experiment of Spike Detection Based Mental Task with Ayes Movement Stimuli". Applied Mechanics and Materials 780 (lipiec 2015): 87–96. http://dx.doi.org/10.4028/www.scientific.net/amm.780.87.

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In this paper, an experiment of spike detection based mental task with ayes movement stimuli is reported. The approximation of ICA algorithm is required to eliminate artifacts and detect a pike of brain activity according to the given stimuli which are normal, closed, and blinking ayes. A comparison of ICA algorithms based Extended Fourth Order Blind Identification and Algorithm for Multiple Unknown Signal Extraction is tested. The quality of the extracted signals is measured through the value of the signal to interference ratio and signal to distortion ratio. The extracted results indicate that the best spike detection is achieved using AMUSE algorithm.Keywords:EEG,spike, IndependentComponent Analysis (ICA).
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Rahim, Md, i Jungpil Shin. "Hand Movement Activity-Based Character Input System on a Virtual Keyboard". Electronics 9, nr 5 (8.05.2020): 774. http://dx.doi.org/10.3390/electronics9050774.

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Nowadays, gesture-based technology is revolutionizing the world and lifestyles, and the users are comfortable and care about their needs, for example, in communication, information security, the convenience of day-to-day operations and so forth. In this case, hand movement information provides an alternative way for users to interact with people, machines or robots. Therefore, this paper presents a character input system using a virtual keyboard based on the analysis of hand movements. We analyzed the signals of the accelerometer, gyroscope, and electromyography (EMG) for movement activity. We explored potential features of removing noise from input signals through the wavelet denoising technique. The envelope spectrum is used for the analysis of the accelerometer and gyroscope and cepstrum for the EMG signal. Furthermore, the support vector machine (SVM) is used to train and detect the signal to perform character input. In order to validate the proposed model, signal information is obtained from predefined gestures, that is, “double-tap”, “hold-fist”, “wave-left”, “wave-right” and “spread-finger” of different respondents for different input actions such as “input a character”, “change character”, “delete a character”, “line break”, “space character”. The experimental results show the superiority of hand gesture recognition and accuracy of character input compared to state-of-the-art systems.
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Suberbiola, Aaron, Ekaitz Zulueta, Jose Manuel Lopez-Guede, Ismael Etxeberria-Agiriano i Manuel Graña. "Arm Orthosis/Prosthesis Movement Control Based on Surface EMG Signal Extraction". International Journal of Neural Systems 25, nr 03 (8.04.2015): 1550009. http://dx.doi.org/10.1142/s0129065715500094.

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This paper shows experimental results on electromyography (EMG)-based system control applied to motorized orthoses. Biceps and triceps EMG signals are captured through two biometrical sensors, which are then filtered and processed by an acquisition system. Finally an output/control signal is produced and sent to the actuators, which will then perform the actual movement, using algorithms based on autoregressive (AR) models and neural networks, among others. The research goal is to predict the desired movement of the lower arm through the analysis of EMG signals, so that the movement can be reproduced by an arm orthosis, powered by two linear actuators. In this experiment, best accuracy has achieved values up to 91%, using a fourth-order AR-model and 100ms block length.
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Silaban, Freddy Artadima, Setiyo Budiyanto i Wahyu Kusuma Raharja. "Stepper motor movement design based on FPGA". International Journal of Electrical and Computer Engineering (IJECE) 10, nr 1 (1.02.2020): 151. http://dx.doi.org/10.11591/ijece.v10i1.pp151-159.

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<p>A stepper motor is an electro mechanical device that can convert electrical pulses to the axis of movement. The finding problem in the movement of a stepper motor is cannot respond to the clock signal directly because the motor windings require a clock (sequence) in the correct order. If the control signal given is not correct, the motor is not moving according to the specified precision. To answer these problems, it is necessary to move the stepper motor with a clock signal that works in real time. The research method is done by designing and testing the stepper motor movement in full stepp and half step with the direction of Clock Wise (CW) and Counter Clock Wise (CCW) movement. These are simulated by using FPGA Isim and implementation using a stepper motor. The results of several experiments have been carried out the stepper motor movement degree according to the input value entered,responding timely movement, and the direction of movement stepper motor.</p>
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Wang, Nian Nian, Ying Zhi Wang, Li Fu Zhu, Ze Xiang Tan, Di Wang, Yue Sun, Ming Yue Li i Guo Zhong Liu. "The Design of Control System of Cursor Movement Based EEG". Applied Mechanics and Materials 665 (październik 2014): 635–39. http://dx.doi.org/10.4028/www.scientific.net/amm.665.635.

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Brain-Computer Interface (BCI) systems support direct communication and control between brain and external devices without use of peripheral nerves system and muscles. BCI can convert electro-encephalogram (EEG) to the control signal to try repairing function for patients. So the study of BCI can improve the life quality of the patients. This system acquires EEG signals due to the left/right hand motor imagery among the normal subjects. For the processing of motor imagery EEG, we adopt the feature extraction method of second order moment in specific frequency band and the feature classification of linear discriminate analysis. Through the analysis of motor imagery EEG, we convert the data results into external control signal to control the movement of the cursor displayed on the computer. The experimental results show that the EEG analysis method makes it feasible and effective for disabled patients communicating with the outside world, and provides the basis for further study of brain-machine interface. Keywords: EEG; motor imagery; cursor movement; second-order moment.
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Rozprawy doktorskie na temat "Movement-based signal"

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How, Martin John, i martin how@anu edu au. "The fiddler crab claw-waving display: an analysis of the structure and function of a movement-based visual signal". The Australian National University. Research School of Biological Sciences, 2004. http://thesis.anu.edu.au./public/adt-ANU20081001.111333.

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Communication is an essential component of animal social systems and a diverse suite of signals can be found in the natural environment. An area of animal communication that, for technical reasons, we know very little about is the field of ‘movement-based’ or ‘dynamic’ visual signals. In this thesis, I make use of recent advances in measurement and analysis techniques, including digital video and image motion processing tools, to improve our understanding of how movement-based signals are adjusted according to signalling context. I measured and characterised the flamboyant claw-waving displays of male fiddler crabs (Genus Uca) and made use of their transparent lifestyle to record the behavioural contexts in which these signals are produced.¶ The claw-waving displays of seven Australian species of fiddler crab are compared and contrasted to show that these signals are species-specific, but also vary within and between individuals. I show that the species Uca perplexa produces different types of signal in different behavioural contexts, a lateral wave for courtship, and a vertical wave during short-range agonistic and courtship interactions. The structure of the lateral courtship waves of Uca perplexa vary according to the distance of signal receivers, the first time this kind of relationship has been shown in a dynamic visual signal. Finally, I describe and analyse the signalling and orientation behaviour of U. elegans during courtship herding, an unusual mating system that uses the claw-waving display in a novel way.¶ The adjustments made by fiddler crabs to their displays during changes in behavioural contexts suggest that the fine-scale context-sensitivity of animal signals may be far more widespread in communication than hitherto recognised.
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How, Martin J. "The fiddler crab claw-waving display : an analysis of the structure and function of a movement-based visual signal /". View thesis entry in Australian Digital Theses Program, 2007. http://thesis.anu.edu.au/public/adt-ANU20081001.111333/index.html.

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Mileros, Martin D. "A Real-Time Classification approach of a Human Brain-Computer Interface based on Movement Related Electroencephalogram". Thesis, Linköping University, Department of Mechanical Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2824.

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A Real-Time Brain-Computer Interface is a technical system classifying increased or decreased brain activity in Real-Time between different body movements, actions performed by a person. Focus in this thesis will be on testing algorithms and settings, finding the initial time interval and how increased activity in the brain can be distinguished and satisfyingly classified. The objective is letting the system give an output somewhere within 250ms of a thought of an action, which will be faster than a persons reaction time.

Algorithms in the preprocessing were Blind Signal Separation and the Fast Fourier Transform. With different frequency and time interval settings the algorithms were tested on an offline Electroencephalographic data file based on the "Ten Twenty" Electrode Application System, classified using an Artificial Neural Network.

A satisfying time interval could be found between 125-250ms, but more research is needed to investigate that specific interval. A reduction in frequency resulted in a lack of samples in the sample window preventing the algorithms from working properly. A high frequency is therefore proposed to help keeping the sample window small in the time domain. Blind Signal Separation together with the Fast Fourier Transform had problems finding appropriate correlation using the Ten-Twenty Electrode Application System. Electrodes should be placed more selectively at the parietal lobe, in case of requiring motor responses.

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Monma, Yumi. "Algoritmo rápido para segmentação de vídeos utilizando agrupamento de clusters". reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/116648.

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Este trabalho propõe um algoritmo rápido para segmentação de partes móveis em vídeo, tendo como base a detecção de volumes fechados no espaço tridimensional. O vídeo de entrada é pré-processado com um algoritmo de detecção de bordas baseado em linhas de nível para produzir os objetos. Os objetos detectados são agrupados utilizando uma combinação dos métodos de mean shift clustering e meta-agrupamento. Para diminuir o tempo de computação, somente alguns objetos e quadros são utilizados no agrupamento. Uma vez que a forma de detecção garante que os objetos persistem com o mesmo rótulo em múltiplos quadros, a seleção de quadros impacta pouco no resultado final. Dependendo da aplicação desejada os grupos podem ser refinados em uma etapa de pós-processamento.
This work presents a very fast algorithm to segmentation of moving parts in a video, based on detection of surfaces of the scene with closed contours. The input video is preprocessed with an edge detection algorithm based on level lines to produce the objects. The detected objects are clustered using a combination of mean shift clustering and ensemble clustering. In order decrease even more the computation time required, two methods can be used combined: object filtering by size and selecting only a few frames of the video. Since the detected objects are coherent in time, frame skipping does not affect the final result. Depending on the application the detected clusters can be refined using post processing steps.
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Chen, Ching-Hao, i 陳竫昊. "Identification of drowsiness by detecting eye movement based on mindwave EEG signal". Thesis, 2014. http://ndltd.ncl.edu.tw/handle/5sxs6b.

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碩士
國立臺北科技大學
自動化科技研究所
103
In this study, a drowsiness identification system using mindwave EEG signal is proposed. With the noninvasive mindwave headset developed by NeuroSky, the time domain signal of the mindwave is used to recognize eye movement and the user's fatigue level. First, the EEG raw signal is transformed by the wavelet transformation. Second, the eigenvalues are computed based on the Daubechies wavelet. Third, the support vector machine and the back propagation neural network are studied to identify the status of eye movement using the eigenvalues. Finally, the fuzzy logic is used to obtain the fatigue level, according to the frequency of the eye movement and the time of closing eyes.
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How, Martin John. "The fiddler crab claw-waving display: an analysis of the structure and function of a movement-based visual signal". Phd thesis, 2007. http://hdl.handle.net/1885/49333.

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Communication is an essential component of animal social systems and a diverse suite of signals can be found in the natural environment. An area of animal communication that, for technical reasons, we know very little about is the field of ‘movement-based’ or ‘dynamic’ visual signals. In this thesis, I make use of recent advances in measurement and analysis techniques, including digital video and image motion processing tools, to improve our understanding of how movement-based signals are adjusted according to signalling context. I measured and characterised the flamboyant claw-waving displays of male fiddler crabs (Genus Uca) and made use of their transparent lifestyle to record the behavioural contexts in which these signals are produced. The claw-waving displays of seven Australian species of fiddler crab are compared and contrasted to show that these signals are species-specific, but also vary within and between individuals. I show that the species Uca perplexa produces different types of signal in different behavioural contexts, a lateral wave for courtship, and a vertical wave during short-range agonistic and courtship interactions. The structure of the lateral courtship waves of Uca perplexa vary according to the distance of signal receivers, the first time this kind of relationship has been shown in a dynamic visual signal. Finally, I describe and analyse the signalling and orientation behaviour of U. elegans during courtship herding, an unusual mating system that uses the claw-waving display in a novel way.¶ The adjustments made by fiddler crabs to their displays during changes in behavioural contexts suggest that the fine-scale context-sensitivity of animal signals may be far more widespread in communication than hitherto recognised.
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Jiang, Wei-Ling, i 江偉凌. "Design of eye movement detection system based on electrooculography signals and their human-computer interaction applications". Thesis, 2012. http://ndltd.ncl.edu.tw/handle/35340531493212140290.

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碩士
國立交通大學
影像與生醫光電研究所
100
In assistive research area, human-computer interface (HCI) technology is used to help disable people by conveying their intention and thinking to the outside world. Many HCI systems based on eye movement have been proposed to assistive disable people. However, due to the complexity of algorithm and difficulty of hardware implementation, there are rare general purpose designs considering the practicality and stability in real-life. Therefore, to solve these limitations and problems, a HCI system based on electrooculography (EOG) is proposed in this study. The proposed classification algorithm provides the eye state detection including fixation, saccade and blink. Moreover, in saccade detection, this algorithm can distinguish ten kind of saccade movements (i.e., up, down, left, right, much left, much right, up-left, down-left, up-right and down-right). In addition, we development a HCI system based on eye movement classification algorithm. This system provides an eye-dialing interface that can be facilitated to improve the life of disable people. The significant results are achieved that proved the performance of the proposed classification algorithm. Moreover, the EOG-based system, which can detect ten different eye movement features, is potential to be performed in real-life applications.
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Feng, Shu-wei, i 馮書瑋. "Based on Artificial Neural Network Learning Approach for the Brain Wave Signals with Eye Movement Commands to Control Embedded Mobile Robots". Thesis, 2015. http://ndltd.ncl.edu.tw/handle/xxgnzx.

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Li, Jia-ching, i 李嘉清. "The Brain Wave Signals with Eye Movement Command based on Back-Propagation Artificial Neural Network Approach for Real-time Simulation System". Thesis, 2013. http://ndltd.ncl.edu.tw/handle/11864652067073076867.

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碩士
國立高雄第一科技大學
系統資訊與控制研究所
101
The brainwave application is far and wide. During this decade, there are more and more progresses and achievements shown in the industry. However, We hope to probe into auxiliary equipment, which is portable and compatible with certain operating system. The computer interface is specifically designed for those patients, who have problems for manipulating computers with their hands and communicating with others. Therefore, We attempt to develop a highly stable and transmitting interface that integrates the neuroscience, signal processing, and control theory. The EEG headset catches the brainwave signals of the users with their motor areas of brain. The brainwave computer interface based on back-propagation neural network(BPN) to select the behaviours of eyes movements such as up, down, left, and right motions. The figuring out the characteristic signals of eye movement, is up to 70%. The interface of brain computer combines with simulation system. In order to prove the BPN model can certainly classify the signals of eye movement. Moreover, the brain waves can be replaced by the mouse, keyboard, and the application of simulation system. In the future, the improved BPN will search for more signals of eye movement and raise its successful rate and stability.
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Książki na temat "Movement-based signal"

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Fletcher, Nicholas. Movement disorders. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780198569381.003.0926.

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Almost any neurological disorder can produce a disorder of movement but the ‘movement disorders’ include the akinetic rigid syndromes, hyperkinesias, and some tremors. It can sometimes seem, especially with the use of videotape recordings, that diagnosis of movement disorders is mainly a matter of correct visual recognition. Such an approach is not recommended and can lead to mistakes unless, as in other areas of medicine, the history is considered first and the physical signs second. Obvious examples include the family history in Huntington’s disease, developmental history in dystonic cerebral palsy, and neuroleptic drug treatment in patients with tardive dyskinesia. In addition, a single disorder may give rise to several different types of involuntary movement. For example, Huntington’s disease may give rise to an akinetic rigid state, chorea, myoclonus, tics, or dystonia. Patients with Parkinson’s disease taking levodopa may show different types of movement disorder at different times of the day.In akinetic rigid states the diagnostic issue will be whether the patient has idiopathic Parkinson’s disease or one of the other Parkinsonian syndromes. With involuntary movements, the first step in diagnosis is to classify these as dystonia, tics, tremor, chorea, or myoclonus. It must be remembered that involuntary movements are merely physical signs, not diagnostic entities, and that they do not always occur in a pure form; for example, patients with dystonia may have additional choreiform movements or tremor. If more than one form of abnormal movement seems to be present, the diagnosis should be based on the most obvious one. The next step is to decide on the cause of the movements and at this stage the diagnosis must be based upon an accurate and complete history as noted above.The movement disorders are often associated with abnormalities of the basal ganglia and, to some extent, vice versa. This is not entirely correct. Disturbances of basal ganglia function certainly have profound effects on movement with the development of bradykinesia, rigidity, tremor, or the various forms of dyskinesia. However, it is not correct when considering the pathophysiology of movement disorders to regard the basal ganglia as an isolated movement control centre. In fact, they are an important but poorly understood component of a much wider motor system. It is also important to remember that the basal ganglia are involved in the processing of limbic and other cognitive processes which may also be disturbed by basal ganglia dysfunction.
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Roze, Emmanuel, i Frédéric Sedel. Gangliosidoses (GM1 and GM2). Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199972135.003.0050.

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GM1 gangliosidosis is due to beta-galactosidase deficiency. The adult-onset form is characterized by progressive generalized dystonia, often associated with akineto-rigid Parkinsonism. Mild skeletal dysplasia and short stature are good diagnostic clues. GM2 gangliosidosis is due to beta-hexosaminidase deficiency. The adult-onset form is characterized by complex neurological disorders, in which features resulting from cerebellar and motor neuron dysfunction are the most frequent. Movement disorders, psychotic symptoms, mild pyramidal signs, axonal polyneuropathy, autonomic dysfunction, and vertical supranuclear palsy can also be observed. Clinical severity and the rate of progression both vary widely from one patient to another. Diagnosis is based on measurements of enzyme activity and molecular analysis. Physiotherapy, speech therapy and management of swallowing are crucial for these patients’ quality of life and prognosis.
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Douglas, Kenneth. Bioprinting. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190943547.001.0001.

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Abstract: This book describes how bioprinting emerged from 3D printing and details the accomplishments and challenges in bioprinting tissues of cartilage, skin, bone, muscle, neuromuscular junctions, liver, heart, lung, and kidney. It explains how scientists are attempting to provide these bioprinted tissues with a blood supply and the ability to carry nerve signals so that the tissues might be used for transplantation into persons with diseased or damaged organs. The book presents all the common terms in the bioprinting field and clarifies their meaning using plain language. Readers will learn about bioink—a bioprinting material containing living cells and supportive biomaterials. In addition, readers will become at ease with concepts such as fugitive inks (sacrificial inks used to make channels for blood flow), extracellular matrices (the biological environment surrounding cells), decellularization (the process of isolating cells from their native environment), hydrogels (water-based substances that can substitute for the extracellular matrix), rheology (the flow properties of a bioink), and bioreactors (containers to provide the environment cells need to thrive and multiply). Further vocabulary that will become familiar includes diffusion (passive movement of oxygen and nutrients from regions of high concentration to regions of low concentration), stem cells (cells with the potential to develop into different bodily cell types), progenitor cells (early descendants of stem cells), gene expression (the process by which proteins develop from instructions in our DNA), and growth factors (substances—often proteins—that stimulate cell growth, proliferation, and differentiation). The book contains an extensive glossary for quick reference.
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van Craenenbroeck, Jeroen, i Tanja Temmerman, red. The Oxford Handbook of Ellipsis. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198712398.001.0001.

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This handbook is the first volume to provide a comprehensive, in-depth, and balanced discussion of ellipsis phenomena, whereby a perceived interpretation is fuller than would be expected based solely on the presence of linguistic forms. Natural language abounds in these apparently incomplete expressions, such as I laughed but Ed didn’t, in which the final portion of the sentence, the verb ‘laugh’, remains unpronounced but is still understood. The range of phenomena involved raise general and fundamental questions about the workings of grammar, but also constitute a treasure trove of fine-grained points of inter- and intralinguistic variation. The volume is divided into four parts. In the first, the authors examine the role that ellipsis plays and how it is analyzed in different theoretical frameworks and linguistic subdisciplines, such as HPSG, construction grammar, inquisitive semantics, and computational linguistics. Chapters in the second part highlight the usefulness of ellipsis as a diagnostic tool for other linguistic phenomena including movement and islands and codeswitching, while Part III focuses instead on the types of elliptical constructions found in natural language, such as sluicing, gapping, and null complement anaphora. Finally, the last part of the book contains case studies that investigate elliptical phenomena in a wide variety of languages, including Dutch, Japanese, Persian, and Finnish Sign Language.
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Hedberg Olenina, Ana. Psychomotor Aesthetics. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190051259.001.0001.

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In the late 19th century, neurophysiology introduced techniques for detecting somatic signs of psychological processes. Scientific modes of recording, representing, and interpreting body movement as “expressive” soon found use in multiple cultural domains. Based on archival materials, this study charts the avenues by which physiological psychology reached the arts and evaluates institutional practices and political trends that promoted interdisciplinary engagements in the first quarter of the 20th century. In mapping the emergence of a paradigm it calls “psychomotor aesthetics,” this book uncovers little-known sources of Russian Futurism, Formalist poetics, avant-garde film theories of Lev Kuleshov and Sergei Eisenstein, and early Soviet programs for evaluating filmgoers’ reactions. Drawing attention to the intellectual exchange between Russian authors and their European and American counterparts, the book documents diverse cultural applications of laboratory methods for studying the psyche. Both a history and a critical project, the book attends to the ways in which artists and theorists dealt with the universalist fallacies inherited from biologically oriented psychology—at times, endorsing the positivist, deterministic outlook, and at times, resisting, reinterpreting, and defamiliarizing these scientific notions. In exposing the vastness of cross-disciplinary exchange at the juncture of neurophysiology and the arts at the turn of the 20th century, Psychomotor Aesthetics calls attention to the tremendous cultural resonance of theories foregrounding the somatic substrate of emotional and cognitive experience—theories, which anticipate the promises and limitations of today’s neuroaesthetics and neuromarketing.
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Części książek na temat "Movement-based signal"

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Sayeed, Saadman, Farjana Sultana, Partha Chakraborty i Mohammad Abu Yousuf. "Assessment of Eyeball Movement and Head Movement Detection Based on Reading". W Recent Trends in Signal and Image Processing, 95–103. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6966-5_10.

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ChangJie, Hu. "Based on Difference Signal Movement Examination Shadow Suppression Algorithm". W Communications in Computer and Information Science, 461–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24097-3_69.

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Arun Ganesh, K., N. Sivakumaran i S. Kumaravel. "Lower Limb Amputees Rehabilitation: IOT-Based Real-Time Human Movement". W Advances in Automation, Signal Processing, Instrumentation, and Control, 3017–33. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8221-9_283.

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Lu, Lixin, Dongcai Wu, Guiqin Li i Peter Mitrouchev. "Signal Denoising Algorithm of Massage Chair Movement Based on iForest-EEMD". W Lecture Notes in Electrical Engineering, 79–84. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0572-8_11.

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Liu, Jingjing, Jia Zeng, Zhiyong Wang i Honghai Liu. "Modeling and Recognition of Movement-Inducing Fatigue State Based on ECG Signal". W Intelligent Robotics and Applications, 677–85. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13822-5_61.

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Yang, Wenjin, Jianning Su, Kai Qiu, Xinxin Zhang i Shutao Zhang. "Research on Evaluation of Product Image Design Elements Based on Eye Movement Signal". W Engineering Psychology and Cognitive Ergonomics, 214–26. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22507-0_17.

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Shi, Xin, Xiao-yong Rui, Li-hua Li, Yi-jun Guo i Zhi-qiang Zhao. "The Application and Research of Filtering Algorithm of the Acceleration Signal of Human Movement Based on Mathematical Morphology-Median Filtering Algorithm". W Proceedings of the 22nd International Conference on Industrial Engineering and Engineering Management 2015, 137–46. Paris: Atlantis Press, 2016. http://dx.doi.org/10.2991/978-94-6239-180-2_14.

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Ahlawat, Vivek, Yogendra Narayan i Divesh Kumar. "DWT-Based Hand Movement Identification of EMG Signals Using SVM". W Proceedings of International Conference on Communication and Artificial Intelligence, 495–505. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6546-9_47.

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El Raheb, Katerina, i Yannis Ioannidis. "A Labanotation Based Ontology for Representing Dance Movement". W Gesture and Sign Language in Human-Computer Interaction and Embodied Communication, 106–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34182-3_10.

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de Oliveira de Souza, João Olegário, José Vicente Canto dos Santos, Rodrigo Marques de Figueiredo i Gustavo Pessin. "Real-Time Hand Prosthesis Biomimetic Movement Based on Electromyography Sensory Signals Treatment and Sensors Fusion". W Artificial Neural Networks and Machine Learning – ICANN 2018, 147–56. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01424-7_15.

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Streszczenia konferencji na temat "Movement-based signal"

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Sivasangari., A., D. Deepa., T. Anandhi., Anitha Ponraj i M. S. Roobini. "Eyeball based Cursor Movement Control". W 2020 International Conference on Communication and Signal Processing (ICCSP). IEEE, 2020. http://dx.doi.org/10.1109/iccsp48568.2020.9182296.

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Haris, Mohd, Pavan Chakraborty i B. Venkata Rao. "EMG signal based finger movement recognition for prosthetic hand control". W 2015 Communication, Control and Intelligent Systems (CCIS). IEEE, 2015. http://dx.doi.org/10.1109/ccintels.2015.7437907.

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Aydemir, Onder, i Temel Kayikcioglu. "Classification of electroencephalogram signals based on cursor movement imagery". W 2014 22nd Signal Processing and Communications Applications Conference (SIU). IEEE, 2014. http://dx.doi.org/10.1109/siu.2014.6830365.

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Khasnobish, Anwesha, Kingshuk Chakravarty, Debatri Chatterjee i Aniruddha Sinha. "Wavelet based head movement artifact removal from electrooculography signals". W 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2017. http://dx.doi.org/10.1109/icassp.2017.7952303.

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Huang, Kai. "Traffic Agent Movement Prediction Using ResNet-based Model". W 2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP). IEEE, 2021. http://dx.doi.org/10.1109/icsp51882.2021.9408922.

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Fahmy, G., O. M. Fahmy i M. F. Fahmy. "Fast Enhanced DWT based Video Micro Movement Magnification". W 2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT). IEEE, 2019. http://dx.doi.org/10.1109/isspit47144.2019.9001874.

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Deniz, Ozan, Mehmetcan Fal i Cengiz Acarturk. "Density based eye movement event detection algorithm (in English)". W 2015 23th Signal Processing and Communications Applications Conference (SIU). IEEE, 2015. http://dx.doi.org/10.1109/siu.2015.7129859.

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Atmaji, Catur, Agfianto Eko Putra i Arrijal Hanif. "Sliding window method for eye movement detection based on electrooculogram signal". W 2018 International Conference on Information and Communications Technology (ICOIACT). IEEE, 2018. http://dx.doi.org/10.1109/icoiact.2018.8350779.

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Lingling Chen, Peng Yang, Linan Zu i Xiaoyun Xu. "Electromyogram signal analysis and movement recognition based on wavelet packet transform". W 2009 International Conference on Information and Automation (ICIA). IEEE, 2009. http://dx.doi.org/10.1109/icinfa.2009.5205151.

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Guo, Shuxiang, Songyuan Zhang, Zhibin Song, Muye Pang i Yuta Nakatsuka. "Preliminary study on upper limb movement identification based on sEMG signal". W 2012 ICME International Conference on Complex Medical Engineering (CME). IEEE, 2012. http://dx.doi.org/10.1109/iccme.2012.6275645.

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Raporty organizacyjne na temat "Movement-based signal"

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Sadot, Einat, Christopher Staiger i Mohamad Abu-Abied. Studies of Novel Cytoskeletal Regulatory Proteins that are Involved in Abiotic Stress Signaling. United States Department of Agriculture, wrzesień 2011. http://dx.doi.org/10.32747/2011.7592652.bard.

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In the original proposal we planned to focus on two proteins related to the actin cytoskeleton: TCH2, a touch-induced calmodulin-like protein which was found by us to interact with the IQ domain of myosin VIII, ATM1; and ERD10, a dehydrin which was found to associate with actin filaments. As reported previously, no other dehydrins were found to interact with actin filaments. In addition so far we were unsuccessful in confirming the interaction of TCH2 with myosin VIII using other methods. In addition, no other myosin light chain candidates were found in a yeast two hybrid survey. Nevertheless we have made a significant progress in our studies of the role of myosins in plant cells. Plant myosins have been implicated in various cellular activities, such as cytoplasmic streaming (1, 2), plasmodesmata function (3-5), organelle movement (6-10), cytokinesis (4, 11, 12), endocytosis (4, 5, 13-15) and targeted RNA transport (16). Plant myosins belong to two main groups of unconventional myosins: myosin XI and myosin VIII, both closely related to myosin V (17-19). The Arabidopsis myosin family contains 17 members: 13 myosin XI and four myosin VIII (19, 20). The data obtained from our research of myosins was published in two papers acknowledging BARD funding. To address whether specific myosins are involved with the motility of specific organelles, we cloned the cDNAs from neck to tail of all 17 Arabidopsis myosins. These were fused to GFP and used as dominant negative mutants that interact with their cargo but are unable to walk along actin filaments. Therefore arrested organelle movement in the presence of such a construct shows that a particular myosin is involved with the movement of that particular organelle. While no mutually exclusive connections between specific myosins and organelles were found, based on overexpression of dominant negative tail constructs, a group of six myosins (XIC, XIE, XIK, XI-I, MYA1 and MYA2) were found to be more important for the motility of Golgi bodies and mitochondria in Nicotiana benthamiana and Nicotiana tabacum (8). Further deep and thorough analysis of myosin XIK revealed a potential regulation by head and tail interaction (Avisar et al., 2011). A similar regulatory mechanism has been reported for animal myosin V and VIIa (21, 22). In was shown that myosin V in the inhibited state is in a folded conformation such that the tail domain interacts with the head domain, inhibiting its ATPase and actinbinding activities. Cargo binding, high Ca2+, and/or phosphorylation may reduce the interaction between the head and tail domains, thus restoring its activity (23). Our collaborative work focuses on the characterization of the head tail interaction of myosin XIK. For this purpose the Israeli group built yeast expression vectors encoding the myosin XIK head. In addition, GST fusions of the wild-type tail as well as a tail mutated in the amino acids that mediate head to tail interaction. These were sent to the US group who is working on the isolation of recombinant proteins and performing the in vitro assays. While stress signals involve changes in Ca2+ levels in plants cells, the cytoplasmic streaming is sensitive to Ca2+. Therefore plant myosin activity is possibly regulated by stress. This finding is directly related to the goal of the original proposal.
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