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Artykuły w czasopismach na temat "Galvanic Skin Response GSR"

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Setyohadi, Djoko Budiyanto, Sri Kusrohmaniah, Sebastian Bagya Gunawan, Pranowo Pranowo i Anton Satria Prabuwono. "Galvanic Skin Response Data Classification for Emotion Detection". International Journal of Electrical and Computer Engineering (IJECE) 8, nr 5 (1.10.2018): 4004. http://dx.doi.org/10.11591/ijece.v8i5.pp4004-4014.

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Emotion detection is a very exhausting job and needs a complicated process; moreover, these processes also require the proper data training and appropriate algorithm. The process involves the experimental research in psychological experiment and classification methods. This paper describes a method on detection emotion using Galvanic Skin Response (GSR) data. We used the Positive and Negative Affect Schedule (PANAS) method to get a good data training. Furthermore, Support Vector Machine and a correct preprocessing are performed to classify the GSR data. To validate the proposed approach, Receiver Operating Characteristic (ROC) curve, and accuracy measurement are used. Our method shows that the accuracy is about 75.65% while ROC is about 0.8019. It means that the emotion detection can be done satisfactorily and well performed.
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Dascălu, Loredana Cristina, Claudiu Babiș, Oana Chivu, Gabriel Iacobescu, Ana Maria Alecusan i Augustin Semenescu. "Measurements of Galvanic Skin Response on Subjects Affected by Stress". Acta Universitatis Cibiniensis. Technical Series 71, nr 1 (1.12.2019): 25–29. http://dx.doi.org/10.2478/aucts-2019-0006.

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Abstract The aim of the present paper is to study the Galvanic Skin Response (GSR) level on subjects affected by stress. The device that we have used, connects to the people by finger electrodes to record GSR. The purpose was to find statistical differences between the activities (mental task, walking, sitting and to fill out a survey about their lives) and their stress level. During the experiment, it was found that the survey caused the source of high stress and increasing skin conductance was caused by sweat secretion (mental, physical activity). Is needed to work of collecting data from more subjects because GSR is depended on human behaviour, is variable upon many factors (their eating habits, their emotional state, their gender, their relationship with family, etc) and we need to build a substantial data set for a valid research.
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Sanchez-Comas, Andres, Kåre Synnes, Diego Molina-Estren, Alexander Troncoso-Palacio i Zhoe Comas-González. "Correlation Analysis of Different Measurement Places of Galvanic Skin Response in Test Groups Facing Pleasant and Unpleasant Stimuli". Sensors 21, nr 12 (19.06.2021): 4210. http://dx.doi.org/10.3390/s21124210.

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The galvanic skin response (GSR; also widely known as electrodermal activity (EDA)) is a signal for stress-related studies. Given the sparsity of studies related to the GSR and the variety of devices, this study was conducted at the Human Health Activity Laboratory (H2AL) with 17 healthy subjects to determine the variability in the detection of changes in the galvanic skin response among a test group with heterogeneous respondents facing pleasant and unpleasant stimuli, correlating the GSR biosignals measured from different body sites. We experimented with the right and left wrist, left fingers, the inner side of the right foot using Shimmer3GSR and Empatica E4 sensors. The results indicated the most promising homogeneous places for measuring the GSR, namely, the left fingers and right foot. The results also suggested that due to a significantly strong correlation among the inner side of the right foot and the left fingers, as well as the moderate correlations with the right and left wrists, the foot may be a suitable place to homogenously measure a GSR signal in a test group. We also discuss some possible causes of weak and negative correlations from anomalies detected in the raw data possibly related to the sensors or the test group, which may be considered to develop robust emotion detection systems based on GRS biosignals.
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Snekhalatha, U., T. Rajalakshmi, C. H. Vinitha Sri, G. Balachander i K. S. Shankar. "NON-INVASIVE BLOOD GLUCOSE ANALYSIS BASED ON GALVANIC SKIN RESPONSE FOR DIABETIC PATIENTS". Biomedical Engineering: Applications, Basis and Communications 30, nr 02 (26.03.2018): 1850009. http://dx.doi.org/10.4015/s1016237218500096.

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Diabetes is a chronic disease due to the lack of production of hormone insulin by the beta cells in the islets of Langerhans. Many diabetic patients often draw a small amount of blood to measure the glucose level every day. This vital information is needed to control their daily food intake. One such method could cause infection and discomfort to the patient. Non-invasive glucose measurement techniques overcome these challenges to monitor blood glucose level continuously. The aim and objective of this study are as follows: (i) to correlate the skin resistance based on Galvanic skin response (GSR) and blood glucose level for diabetic and non-diabetic subject and (ii) to estimate the blood glucose value based on GSR voltage and resistance using stepwise linear regression model. About 50 diabetic and 50 non-diabetic subjects were included in this study. Blood glucose level is recorded using the minimally invasive device called accu-chek for all the subjects. GSR resistance and GSR voltage were recorded using the designed instrumentation setup. In diabetic subjects, the measured blood glucose level shows negative correlation with the GSR voltage ([Formula: see text], [Formula: see text]) and GSR resistance ([Formula: see text], [Formula: see text]). The estimated blood glucose level can be predicted with good sensitivity (94%) and accuracy (92%) using age and GSR voltage, or by the combination of age and GSR resistance in the evaluation of diabetic subjects.
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원규왕 i CHAKyungWhan. "Utilizing Galvanic Skin Response (GSR) for Measuring English Listening Anxiety". English Language Teaching 27, nr 2 (czerwiec 2015): 39–55. http://dx.doi.org/10.17936/pkelt.2015.27.2.003.

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Belyea, A., N. Cofie, N. Dalgarno i E. Bruder. "MP22: Using galvanic skin response to identify resuscitation expertise in a pulmonary embolism simulation exercise". CJEM 22, S1 (maj 2020): S50. http://dx.doi.org/10.1017/cem.2020.170.

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Introduction: As physicians gain expertise in clinical settings, they are able to handle progressively more information, in both complexity and magnitude, as an organized schema. Expert physicians then, will be more likely to function with less cognitive load —the amount of mental effort someone exerts within their short-term working memory. Expert physicians will also retain more working memory capacity to process information during medical emergencies than novice physicians. While a physician's ability to process medical information may have implications for handling medical emergencies, there is a paucity of empirical research examining the link between physicians’ expertise and biometric measures of cognitive load. Using galvanic skin response (GSR) as a surrogate measure of cognitive load, we assess whether average cognitive load differs significantly between expert and novice physicians in a pulmonary embolism simulation exercise. Methods: We analyzed GSR data (n = 39) from a 10-minute simulated pulmonary embolism exercise among 18 faculty physicians and 21 residents. Cluster and factor analyses were used to identify novice, intermediate, advanced, and expert physicians with based on participants’ GRS scores. One-way ANOVA was used to analyze group differences. Descriptive statistical techniques were also used to describe the distribution of GRS expertise by participants’ level of training. Results: Contrary to expectation, we found more than two groups of resuscitation expertise in the simulation exercise. Respectively, we identified 7.7% and 20.5% of participants as novice and expert physicians. About 36% of participants were classified as intermediate (35.9%) physicians while another 36% were classified as having an advanced (35.9%) expertise in resuscitation. All the novice physicians identified were found to be PGY1 and PGY2 resident residents. A third (33.3%) of faculty physicians and 9.5% of residents were identified as experts. As expected, average GSR score for experts (x¯ = 0.60μS, SD = 0.26) was significantly (F = 137.6, p < 0.001) lower than the average GSR for novices (x¯ = 5.55μS, SD = 0.99), intermediate (x¯ = 2.84 μS, SD = 0.40), and advanced (x¯ = 1.57 μS, SD = 0.28) physicians. Conclusion: GSR measures of cognitive load may be used to identify resuscitation expertise in managing pulmonary embolism and related medical conditions through simulation exercises.
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Min, Byung-Chan, Soon-Cheol Chung, Sang-Gyun Kim, Byung-Woon Min, Chul-Jung Kim i Se-Jin Park. "Assessment of Autonomic Responses to Different Driving and Road Conditions". Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, nr 37 (lipiec 2000): 679. http://dx.doi.org/10.1177/154193120004403736.

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The purpose of this study was to compare changes in autonomic responses due to different driving and road conditions. We measured physiological responses of the 10 health subjects such as Heart Rate Variability (HRV), Galvanic Skin Response (GSR) and skin temperature in rest and stimulation conditions. The ratio of LF/HF significantly increased and averaged R-R interval decreased on the abrupt stopping and starting and abruptly curved road conditions, compared to other conditions. Mean value of GSR increased and mean value of skin temperature decreased in the abrupt stopping and starting and abruptly curved road conditions, compared to other conditions.
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Kurniawan, Adhadi, Junas Haidi, M. Khairul Amri Rosa i Jefri Suryanata. "Analisis Potensi Kebohongan dengan Galvanic Skin Response Dan Diameter Pupil Mata". JURNAL AMPLIFIER : JURNAL ILMIAH BIDANG TEKNIK ELEKTRO DAN KOMPUTER 9, nr 2 (30.11.2019): 34–42. http://dx.doi.org/10.33369/jamplifier.v9i2.15381.

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ABSTRAKSistem alat pendeteksi kebohongan pada penelitian ini menggunakan sistem kerja dari GSR (Galvanic Skin Response) dan perubahan diameter pupil mata seseorang untuk melihat perubahan resistansi ataupun perubahan respon kulit yang terdapat pada jari tengah dan telunjuk seseorang menggunakan sensor GSR dan menggunakan kamera webcam Logitech B525 HD untuk melihat perubahan diameter pupil mata pada seseorang. Analisa pada penelitian ini untuk melihat perubahan resistansi kulit atau ?Rk dan perubahan ukuran diameter pupil.mata.atau.?X yang berpotensi berbohong atau tidak. Pengujian dilakukan sebanyak empat kali untuk membuktikan perubahan resistansi kulit atau ?Rk dan ukuran diameter pupil mata atau ?X. Pada pengujian perubahan nilai resistansi kulit atau ?Rk pada pengujian kedua perubahan resistansi kulit atau ?Rk terjadi didetik 12 sebesar 0,244 ? dan pengujian ketiga didetik 12 dan 16 sebesar 1,018 ?. Sedangkan pengujian perubahan ukuran diameter pupil mata ?X perubahan terjadi pada pengujian pertama didetik ke 11 sebesar 1, 31 mm dan detik 19 sebesar 0,92 mm dan pengujian kedua didetik ke 12 sebesar 1,1 mm.Kata kunci: Galvanic Skin Response, Pupil Mata, Bohong
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NAMAZI, HAMIDREZA, SHAFIUL OMAM, KAMIL KUCA i ONDREJ KREJCAR. "EVALUATION OF THE COUPLING BETWEEN ELECTROENCEPHALOGRAM (EEG) AND GALVANIC SKIN RESPONSE (GSR) SIGNALS VERSUS THE COMPLEX STRUCTURE OF MUSIC". Fractals 29, nr 04 (11.05.2021): 2150175. http://dx.doi.org/10.1142/s0218348x21501759.

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Since skin activity, like other organs, is controlled by the brain, we decoded the correlation among the brain and skin responses in auditory stimulation by complexity-based analysis of EEG and GSR signals. Three pieces of music were selected according to the difference in the fractal exponent and sample entropy of embedded noises in them. We calculated the fractal dimension and sample entropy of EEG and GSR signals for 11 subjects in rest and response to these music pieces. The correlation coefficients of 0.9525 and 0.9822 in the case of fractal dimension and sample entropy demonstrated a strong correlation between the complexities of the GSR and EEG signals. Therefore, we can state that the skin and brain responses are coupled. This method can be applied to evaluate the relationship between the human brain and other organs.
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Webster, Daniel G., i James J. Muir. "Presenting Physiological Measures: Effectiveness of Demonstration versus Lecture". Teaching of Psychology 22, nr 3 (październik 1995): 192–95. http://dx.doi.org/10.1207/s15328023top2203_8.

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This article provides guidelines for demonstrating human physiological responses to undergraduates and compares the effectiveness of demonstration and lecture formats for presenting physiological measures. Two responses, the galvanic skin response (GSR) and electrocardiogram (EKG), were presented to students either as a demonstration or in a lecture format. Results indicate that demonstrations may provide an effective format for improving retention of information about simple procedures and responses, such as the GSR, but may not be as effective as lecture presentation of more complex information, such as the EKG waveform.
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Rozprawy doktorskie na temat "Galvanic Skin Response GSR"

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Nagai, Yōko. "Electrophysiological analysis of Galvanic Skin Response (GSR) biofeedback and its clinical application on epilepsy". Thesis, King's College London (University of London), 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.271291.

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Reeder, Matthew, i res cand@acu edu au. "The Emotional Congruence of Experience and Bodily Change". Australian Catholic University. School of Psychology, 2001. http://dlibrary.acu.edu.au/digitaltheses/public/adt-acuvp10.09042006.

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This study examined the association of the experience of emotion and somatic changes. The study compared reported somatic changes generally experienced when anxious with the actual association of the experience of emotion and somatic changes as measured during a specific event. Emotions were measured as both general negative emotion as well as specific emotions: anger, disgust, fear, sadness and shame. Participants were volunteers from a Victorian university who agreed to watch a video depicting the dramatisation of child abuse. Throughout the video, participants indicated their experience of emotion. Measures were also taken throughout the procedure of facial expression and Galvanic Skin Response (GSR). In order to examine emotional-congruence, subjects were divided into three groups. These groups were divided according to the congruence of subjects’ experienced emotion with autonomic changes and facial expressivity. Groups were divided separately for each of the emotion types. Where there was little difference between the reported experience of emotion and that, which would have been expected from the observed somatic changes, the subject was deemed to be in the Congruent Group. Subjects whose reported experience of emotion was greater or less than would be expected from observed somatic changes were allocated to the Over-reporter and Under-Reporter Groups respectively. This data was then compared to participants’ reports of the number of somatic symptoms usually experienced when anxious. It was found that participants who under-report the experience of general negative-emotion compared with their observed somatic changes (both GSR and facial expressivity) had lower trait-somatic-anxiety (reported fewer somatic symptoms usually experienced when anxious). There was no significant difference between the Congruent Group and Over-Reporter Group. The Under-Reporter Groups had significantly lower trait-somatic-anxiety than the Congruent Group when emotional-congruence was defined by fear and GSR, anger and GSR and sadness and facial expressivity. The actual association of shame and disgust with either somatic change, sadness with autonomic change and anger and fear with facial expressivity was unrelated to the number of somatic symptoms reported to be usually experienced when anxious. The results supported the idea that subjective reports of the number of somatic symptoms reported to be usually experienced when anxious reflect the actual association of somatic change and experience, but with limitations. The actual association of experience of fear with autonomic change seems to reflect the number of somatic symptoms reported to be usually experienced when anxious more than other emotions. Further for those for whom the experience of anger and negative-emotion has a greater association with somatic change, there was a greater number of somatic symptoms reported to be usually experienced when anxious. This would suggest that some people have a greater association of some experiences of emotion and somatic change. Furthermore, while there is an association between reported somatic changes generally experienced when anxious with the actual association of the experience of emotion and somatic changes as measured during a specific event, this was dependant on the association of the emotion types rather than being generalised for all emotions.
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Ren, Peng. "Off-line and On-line Affective Recognition of a Computer User through A Biosignal Processing Approach". FIU Digital Commons, 2013. http://digitalcommons.fiu.edu/etd/838.

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Physiological signals, which are controlled by the autonomic nervous system (ANS), could be used to detect the affective state of computer users and therefore find applications in medicine and engineering. The Pupil Diameter (PD) seems to provide a strong indication of the affective state, as found by previous research, but it has not been investigated fully yet. In this study, new approaches based on monitoring and processing the PD signal for off-line and on-line affective assessment (“relaxation” vs. “stress”) are proposed. Wavelet denoising and Kalman filtering methods are first used to remove abrupt changes in the raw Pupil Diameter (PD) signal. Then three features (PDmean, PDmax and PDWalsh) are extracted from the preprocessed PD signal for the affective state classification. In order to select more relevant and reliable physiological data for further analysis, two types of data selection methods are applied, which are based on the paired t-test and subject self-evaluation, respectively. In addition, five different kinds of the classifiers are implemented on the selected data, which achieve average accuracies up to 86.43% and 87.20%, respectively. Finally, the receiver operating characteristic (ROC) curve is utilized to investigate the discriminating potential of each individual feature by evaluation of the area under the ROC curve, which reaches values above 0.90. For the on-line affective assessment, a hard threshold is implemented first in order to remove the eye blinks from the PD signal and then a moving average window is utilized to obtain the representative value PDr for every one-second time interval of PD. There are three main steps for the on-line affective assessment algorithm, which are preparation, feature-based decision voting and affective determination. The final results show that the accuracies are 72.30% and 73.55% for the data subsets, which were respectively chosen using two types of data selection methods (paired t-test and subject self-evaluation). In order to further analyze the efficiency of affective recognition through the PD signal, the Galvanic Skin Response (GSR) was also monitored and processed. The highest affective assessment classification rate obtained from GSR processing is only 63.57% (based on the off-line processing algorithm). The overall results confirm that the PD signal should be considered as one of the most powerful physiological signals to involve in future automated real-time affective recognition systems, especially for detecting the “relaxation” vs. “stress” states.
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Mundell, Lee Carter. "Predicting performance using galvanic skin response". Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/105086.

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Thesis: S.M., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 49-52).
The rapid growth of the availability of wearable biosensors has created the opportunity for using physiological signals to measure worker performance. An important question is how to use such signals to not just measure, but actually predict worker performance on a task under stressful and potentially high risk conditions. Here we show that the biological signal known as galvanic skin response (GSR) allows such a prediction. We conduct an experiment where subjects answer arithmetic questions under low and high stress conditions while having their GSR monitored. Using only the GSR measured under low stress conditions, we are able to predict which subjects will perform well under high stress conditions with a median accuracy of 75%. If we try to make similar predictions without using any biometric signals, the median accuracy is 50%. Our results suggest that performance in high stress conditions can be predicted using signals obtained from GSR sensors in low stress conditions.
by Lee Carter Mundell.
S.M.
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Spitler, Kevin M. "The Role of the Monkey Amygdala in the Autonomic Expression of Emotion". Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/194823.

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The skin conductance response is involved in the preparation for and response to stimuli with emotional significance. The neural mechanisms responsible for the generation of the skin conductance response are not well understood despite the common use of this signal as an index of emotional response. Data from anatomical, lesion, and neuroimaging studies in humans suggest that the amygdala, a component of the brain circuit for emotion, plays a critical role in the generation of the skin conductance response. Here we employ a novel combination of existing techniques to understand the stimuli that elicit skin conductance responses in the monkey and the neural mechanisms in the amygdala that participate in its generation. We recorded skin conductance responses in monkeys trained to perform a passive image viewing task. This paradigm is a staple of human emotion research but to date has not been adapted to the monkey. In addition, skin conductance responses to these stimuli were recorded in conjunction with single unit responses from the amygdala. This study addresses the relationship between the activity of single neurons recorded from identified nuclei of the monkey amygdala and autonomic responses. Neurons in multiple nuclei of the amygdala showed reliable changes in neuronal discharge prior to the skin conductance response. These neurons were primarily in the dorsal nuclei of the amygdala, which confirms predictions made from anatomical and neuroimaging data. It is suggested that these changes in neuronal discharge may correspond to the generation of this autonomic component of the expression of emotion.
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Lochner, Georg Philip. "The voltage-current characteristic of the human skin". Pretoria : [s.n.], 2005. http://upetd.up.ac.za/thesis/available/etd-09212005-093111/.

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Carr, Vaughan. "Electrodermal indices of information processing and functional cerebral asymmetry in schizophrenia : a comparison with affective disorder /". Title page, table of contents and summary only, 1987. http://web4.library.adelaide.edu.au/theses/09MD/09mdc312.pdf.

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Horley, R. Kaye. "Fear of faces a psychophysiological investigation of facial affect processing in social phobia /". Access electronically, 2004. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20050922.141835/index.html.

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Kessler, Jeffrey C. (Jeffrey Charles). "Physiological Effects of Monetary Consequences". Thesis, University of North Texas, 1998. https://digital.library.unt.edu/ark:/67531/metadc278141/.

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Electrodermal responding (EDR) and heart rate (HR) were assessed for seven subjects participating in a reaction time task consequated with monetary bonuses (250, 100, and 10), monetary penalties (250,100, and 10), and a monetary neutral value (00). Unlike previous research employing group designs and a tonic measure (i.e., mean over long periods of time), this study utilized a single-subject design and a phasic measure (i.e., mean over 2-s intervals). Heart rate data was too variable for meaningful analysis. EDR data showed that the peak levels of EDR were higher for penalties than for the corresponding values of bonuses (e.g., -250 vs. +250) for most subjects. Similarly, peak levels of EDR were generally higher during sessions in which consequences were presented than in sessions during which consequences were absent.
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Brandt, Bryan. "An Examination of Electrodermal Activity During Tic Suppression in Adults". Scholar Commons, 2014. https://scholarcommons.usf.edu/etd/4990.

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Although tic disorders are diagnosed as neurological disorders, neurobehavioral models suggest that tics are controlled by premonitory urges that may be conditioned to become aversive through childhood, and that tics are exhibited to alleviate such phenomena. However, only indirect measures have been used to assess the presence of the premonitory urge. This study utilized self-report and GSR measurements to examine whether a punishing contingency conditioned stimuli to be aversive during conditions of tic suppression and whether punishing contingencies exacerbate aversive private phenomena in two adults. Results indicated that conditions of response cost (RC) and differential reinforcement (DRO) were effective at reducing the number of tics compared to baseline. Moreover, GSR was unrelated to urge and suppression conditions despite higher self-reported urge ratings in DRO and RC conditions. Implications of findings are discussed.
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Książki na temat "Galvanic Skin Response GSR"

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Boucsein, Wolfram. Electrodermal activity. New York: Plenum Press, 1992.

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Geras, Gościmierz. Psychologiczno-medyczna diagnostyka elektroskórna. Gdańsk: Wydawn. Uniwersytetu Gdańskiego, 1996.

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Vossel, Gerhard. Elektrodermale Labilität: Ein Beitrag zur differentiellen Psychophysiologie. Göttingen, Germany: Verlag für Psychologie Hogrefe, 1990.

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Aldersons, A. A. Mekhanizmy ėlektrodermalʹnykh reakt͡s︡iĭ. Riga: "Zinatne", 1985.

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Geras, Gościmierz. Elektrodermometria w psychologii i medycynie. Wyd. 2. Gdańsk: Uniwersytet Gdański, 1987.

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Boucsein, Wolfram. Electrodermal activity. Wyd. 2. New York: Springer, 2012.

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Die Zahl der aktiven Schweissdrüssen (PSI, palmar sweat index) als Aktivierungsparameter in Labor- und Feldstudien: Untersuchungen mit der plastic finger print-Methode. Frankfurt am Main: P. Lang, 1992.

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Burke, David P. Real -time Processing of Biological Signals to Provide Multimedia Biofeedback as an Aid to Relaxation Therapy. Dublin: University College Dublin, 1998.

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Hemisphärenunterschiede, Emotion und bilaterale elektrodermale Aktivität: Experimentelle Untersuchungen zur Lateralisation emotionsbegleitender elektrodermaler Reaktion. Frankfurt am Main: P. Lang, 1995.

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Sosnowski, Tytus. Wzorce aktywności psychofizjologicznej w warunkach krótkotrwałego stresu antycypacyjnego: Analiza zmian aktywności elektrodermalnej i szybkości pracy serca. Wrocław: Zakład Narodowy im. Ossolińskich, Wydawn. Polskiej Akademii Nauk, 1991.

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Części książek na temat "Galvanic Skin Response GSR"

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Galik, Elizabeth, Shin Fukudo, Yukari Tanaka, Yori Gidron, Tavis S. Campbell, Jillian A. Johnson, Kristin A. Zernicke i in. "Galvanic Skin Response". W Encyclopedia of Behavioral Medicine, 829. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_1668.

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Chen, Fang, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji i Dan Conway. "Galvanic Skin Response-Based Measures". W Robust Multimodal Cognitive Load Measurement, 87–99. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31700-7_5.

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Westerink, Joyce H. D. M., Egon L. van den Broek, Marleen H. Schut, Jan van Herk i Kees Tuinenbreijer. "Computing Emotion Awareness Through Galvanic Skin Response and Facial Electromyography". W Probing Experience, 149–62. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6593-4_14.

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Huang, Tao, Jiping Xiong i Lifeng Xuan. "Design and Implementation of a Wireless Healthcare System Based on Galvanic Skin Response". W Communications in Computer and Information Science, 337–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23220-6_43.

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Dehzangi, Omid, i Vikas Rajendra. "Wearable Galvanic Skin Response for Characterization and Identification of Distraction During Naturalistic Driving". W Internet of Things, 15–27. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02819-0_2.

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Gao, Renshang, Atiqul Islam, Tom Gedeon i Md Zakir Hossain. "Identifying Real and Posed Smiles from Observers’ Galvanic Skin Response and Blood Volume Pulse". W Neural Information Processing, 375–86. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63830-6_32.

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Freivalds, Andris, i Shubo Lyu. "Body Balance Estimation in Standing and Walking Conditions Using Inertial Measurement Units and Galvanic Skin Response". W Advances in Intelligent Systems and Computing, 9–12. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96098-2_2.

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Jo, Geumbi, Seunggeon Lee i Eui Chul Lee. "A Study on the Possibility of Measuring the Non-contact Galvanic Skin Response Based on Near-Infrared Imaging". W Intelligent Human Computer Interaction, 110–19. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68449-5_12.

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Sut Txi, Mon Redee, Hairul Anuar Hashim i Oleksandr Krasilshchikov. "The Effects of Integrating Biofeedback Training into a 12-Week Periodized Training Program on Galvanic Skin Response and Anxiety Level Among Junior Archers". W Enhancing Health and Sports Performance by Design, 528–37. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3270-2_54.

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"Galvanic Skin Response (GSR)". W Encyclopedia of Personality and Individual Differences, 1735. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_301022.

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Streszczenia konferencji na temat "Galvanic Skin Response GSR"

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Shi, Yu, Natalie Ruiz, Ronnie Taib, Eric Choi i Fang Chen. "Galvanic skin response (GSR) as an index of cognitive load". W CHI '07 extended abstracts. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1240866.1241057.

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Khawaji, Ahmad, Jianlong Zhou, Fang Chen i Nadine Marcus. "Using Galvanic Skin Response (GSR) to Measure Trust and Cognitive Load in the Text-Chat Environment". W CHI '15: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2702613.2732766.

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Fortune, Emma, Yaqoub Yusuf, Sarah Zornes, Jorge Loyo Lopez i Renaldo Blocker. "Assessing Induced Emotions in Employees in a Workplace Setting Using Wearable Devices". W 2020 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dmd2020-9062.

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Abstract A working environment which elicits positive emotions in employees is vital for employee retention, engagement and productivity. Wearable sensors provide the means to objectively measure the emotional responses of employees in the workplace in real-time. The study aim was to perform a preliminary investigation into the validity of two multimodal systems to classify employee’s emotional responses to positive, neutral or negative video stimuli: (1) using wearable electroencephalography (EEG) in combination with video-based facial expression analysis (FEA), and (2) using a wearable galvanic skin response (GSR) device in combination with video-based FEA. Five office employees each watched three short video clips at three time points during their regular work shifts while wearing EEG sensors on the forehead and GSR sensors on the middle and index fingers of their non-dominant hand with their face in view of a webcam. Russel’s circumplex model of affect was used to determine participant’s emotional responses to the video clips. The GSR device showed greater accuracy than the EEG device at detecting arousal responses to the video stimuli, with agreement, precision, and recall values of 87%, 100% and 80%, respectively, compared to 53%, 62%, and 80% for the EEG device. The FEA/EEG and FEA/GSR circumplex models were both able to accurately detect positive emotions elicited from video stimuli with levels of agreement and recall greater than 73%. Precision for the FEA/EEG model to detect positive stimuli was lower due to misclassification of 40% of both negative and neutral stimuli as positive. Precision values for both circumplex models were very low for detecting negative emotions. The results suggest that the EEG and GSR devices may be capable of detecting arousal when used alone, and detecting positive emotions when used in combination with video-based FEA in real-time in the workplace.
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Eesee, Abdulrahman K. "The suitability of the Galvanic Skin Response (GSR) as a measure of emotions and the possibility of using the scapula as an alternative recording site of GSR". W 2019 2nd International Conference on Electrical, Communication, Computer, Power and Control Engineering (ICECCPCE). IEEE, 2019. http://dx.doi.org/10.1109/iceccpce46549.2019.203752.

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Roy Mahapatra, D., N. Chakraborty, S. Bandopadhyay i B. Balachandran. "Gyrosonics: Signature Analysis and Reduced-Order Models". W ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-39847.

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In this paper, the authors study the structure of a novel binaural sound with a certain phase and amplitude modulation and the response to this excitation when it is applied to natural rewarding circuit of human brain through auditory neural pathways. This novel excitation, also referred to as gyrosonic excitation in this work, has been found to have interesting effects such as stabilization effects on the left and right hemispheric brain signaling as captured by Galvanic Skin Resistance (GSR) measurements, control of cardiac rhythms (observed from ECG signals), mitigation of psychosomatic syndrome, and mitigation of migraine pain. Experimental data collected from human subjects are presented, and these data are examined to categorize the extent of systems disorder and reinforcement reward due to the gyrosonic stimulus. A multi-path reduced-order model has been developed to analyze the GSR signals. The filtered results are indicative of complicated reinforcing reward patterns due to the gyrosonic stimulation when it is used as a control input for patients with psychosomatic and cardiac disorders.
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Seshadri, Priya, Youyi Bi, Jaykishan Bhatia, Ross Simons, Jeffrey Hartley i Tahira Reid. "Evaluations That Matter: Customer Preferences Using Industry-Based Evaluations and Eye-Gaze Data". W ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60293.

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This study is the first stage of a research program aimed at understanding differences in how people process 2D and 3D automotive stimuli, using psychophysiological tools such as galvanic skin response (GSR), eye tracking, electroencephalography (EEG), and facial expressions coding, along with respondent ratings. The current study uses just one measure, eye tracking, and one stimulus format, 2D realistic renderings of vehicles, to reveal where people expect to find information about brand and other industry-relevant topics, such as sportiness. The eye-gaze data showed differences in the percentage of fixation time that people spent on different views of cars while evaluating the “Brand” and the degree to which they looked “Sporty/Conservative”, “Calm/Exciting”, and “Basic/Luxurious”. The results of this work can give designers insights on where they can invest their design efforts when considering brand and styling cues.
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Lansing, Kyle, Wei Yu i Biswanath Samanta. "A Non-Intrusive Wearable Bio-Sensor Based Assistive Robotic System for Human Mental and Physical Intervention". W ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-71654.

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Assistive robotics and technologies are going to play a vital role in our society. These platforms can support a level of human-robot interaction that is more meaningful, accommodating, and effective. This is especially true in the realms of medicine and rehabilitation, although assistive robots have a wider range of applications. In this work, using a non-intrusive wearable bio-sensor, a PC, and a mobile robot a novel proof of concept system has been developed that can detect human mental and physical states and intervene to promote mental and physical wellbeing. This study has utilized a skin-conductivity sensor to monitor changes in galvanic skin response (GSR) due to the presence of stress or anxiety along with a three-axis accelerometer to detect changes in physical activity levels. Two data processing algorithms have been developed to identify the mental and physical states by employing trend analysis techniques. By programming the system to obtain a baseline reading for individual subjects and comparing subsequent sensor values sustained changes in GSR levels due to stress can be detected. Similarly, by utilizing arrays and monitoring changes in accelerometer readings pattern changes associated with different physical activities can be detected. In addition, behaviors and motions aimed at alleviating human mental stress and physical inactivity have been developed by employing distraction and reminder intervention methods using a mobile robot. Experiments have been conducted on human subjects to evaluate the proposed robotic system’s capability to identify mental and physical states and intervene to improve their situation through participant responses. Based on the responses, a mean rating of 4.41 and 4.83 out of 5 has been given for the system’s ability to recognize human stress and physical state respectively. Additionally, participants have reported a mean of 30.3% reduction of stress and a mean of 23.3% increase in positive mood following the system’s intervention behavior.
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Hu, Wan-Lin, Joran Booth i Tahira Reid. "Reducing Sketch Inhibition During Concept Generation: Psychophysiological Evidence of the Effect of Interventions". W ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47669.

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This research investigated the effect of warm-up activities on cognitive states during concept generation. Psychophysiological tools including electroencephalography (EEG) and galvanic skin response (GSR) were used along with self-report measures (NASA TLX). Participants were divided into 3 test conditions: 1) no warm-up activity; 2) simple warm-up activities; 3) sketch-inhibition reducing activities. All participants did the same short design task. Results show that those who did a warm-up prior to ideation had a decrease in stress, especially for those who were personally familiar with the design problem. The art activities especially improved engagement for younger participants. We also saw that females who used the art-based activities reported lower mental workload during ideation and greater pride in their sketches. However, the warm-ups did not produce any difference in the number of ideas or other metrics of performance. These preliminary results indicate that warm-up activities, especially the art-based ones, help reduce inhibition by calming the cognitive state.
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Akkara, Jisha, Anitha Jacob, Subaida E A, Dona Joy i Sreelakshmi K S. "Effect of Two Lane Non-Urban Highway Geometry on Workload Profile of Drivers". W International Web Conference in Civil Engineering for a Sustainable Planet. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.112.63.

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Transportation engineers play an important role to achieve zero- crash vision of the Government. The onus for occurrence of road crashes at under-designed and poorly constructed roads lies on the shoulders of transportation engineers. To ensure safe and comfortable driving, it is essential and necessary to evaluate the geometric design of roads, especially highways, from the perspective of the vehicle drivers. If the road is of consistent design, the driver can achieve smooth and safe driving. Inconsistent design of roads can confuse a driver and it may lead to unnecessary speed changes and even may result in unfavourable level of crashes. This paper attempts to study how the highway geometry affects the driver workload at horizontal curves and curves with gradient on two lane non-urban highways. The driver workload is assessed by measuring variations in physiological conditions of subject driver while driving in a test car under real field conditions. Heart rate (HR) and galvanic skin response (GSR) of drivers are continuously recorded using sensors attached to the driver’s ear and fingers respectively to develop a continuous profile of driver workload at varying highway geometry. The variations in heart rate from tangent sections to succeeding curve sections are determined to understand the effect of curve geometry on heart rate. The geometrical data such as radius of curvature, superelevation, sight distance, gradient and tangent length are collected from the selected study stretches. The study revealed that the inconsistent design of roads leads to large variations in heart rate and galvanic skin response. Consequently, crash frequency is found to be higher at such locations. The outcome of the study will help highway designers to design safer roads. The outcome of the study throws light on safety evaluation of highway geometry and will be helpful in developing tools and guidelines for designing safer roads.
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Satti, Fahad Ahmed, Musarrat Hussain, Jamil Hussain, Tae-Seong Kim, Sungyoung Lee i TaeChoong Chung. "User Stress Modeling through Galvanic Skin Response". W 2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM). IEEE, 2021. http://dx.doi.org/10.1109/imcom51814.2021.9377380.

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Raporty organizacyjne na temat "Galvanic Skin Response GSR"

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Oberlin, Michael. Verbal Conditioning of The Galvanic Skin Response to Deception. Fort Belvoir, VA: Defense Technical Information Center, czerwiec 1994. http://dx.doi.org/10.21236/ada304659.

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