Relevant bibliographies by topics / Human augmentation

Academic literature on the topic 'Human augmentation'

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Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Human augmentation"

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Fernandes, Tony. "Human augmentation." Interactions 23, no. 5 (August 23, 2016): 66–68. http://dx.doi.org/10.1145/2972228.

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Kurita, Yuichi, Shigekazu Ishihara, and Masahiko Inami. "Cybathlon and Human Augmentation." IEICE Communications Society Magazine 12, no. 2 (September 1, 2018): 105–11. http://dx.doi.org/10.1587/bplus.12.105.

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Daily, Mike, Antti Oulasvirta, and Jun Rekimoto. "Technology for Human Augmentation." Computer 50, no. 2 (February 2017): 12–15. http://dx.doi.org/10.1109/mc.2017.39.

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Brown, M., N. Tsagarakis, and D. G. Caldwell. "Exoskeletons for human force augmentation." Industrial Robot: An International Journal 30, no. 6 (December 2003): 592–602. http://dx.doi.org/10.1108/01439910310506864.

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Kim, David M., Myron Nevins, Marcelo Camelo, Marc L. Nevins, Peter Schupbach, Vinicius S. Rodrigues, and Joseph P. Fiorellini. "Human Histologic Evaluation of the Use of the Dental Putty for Bone Formation in the Maxillary Sinus: Case Series." Journal of Oral Implantology 38, no. 4 (August 1, 2012): 391–98. http://dx.doi.org/10.1563/aaid-joi-d-11-00069.

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A proof-of-principle study was conducted to assess the safety and efficacy of dental putty as an alternative sinus augmentation biomaterial. Six healthy patients requiring a total of 10 sinus augmentations received sinus augmentations. All patients volunteered and signed an informed consent based on the Helsinki declaration of 1975, as revised in 2000. The sinus augmentation was performed under local anesthesia with a mucoperiosteal flap elevated to expose the buccal wall of the maxillary sinus. The space was then filled with the dental putty in several increments, and the window was covered with an absorbable collagen membrane. Biopsies were harvested from all 10 treated sinuses using a 3-mm trephine bur at the time of implant placement at either 6 or at 9 months after sinus augmentation. All patients completed the study without complications, except for 1 patient who reported fistulas at 1 and 2 months after the surgery. Clinical reentry revealed that regenerated bone on the osteotomy site was soft and immature. The ground sections of the biopsied cores revealed minimum amounts of trabeculation surrounded by an abundant array of irregular-shaped residual alloplastic particles embedded in loose connective tissue. The present study's findings revealed inadequate bone formation, although the material appears to be bioinert as there is no elicitation of inflammatory response.
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Steven Eyobu, Odongo, and Dong Han. "Feature Representation and Data Augmentation for Human Activity Classification Based on Wearable IMU Sensor Data Using a Deep LSTM Neural Network." Sensors 18, no. 9 (August 31, 2018): 2892. http://dx.doi.org/10.3390/s18092892.

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Wearable inertial measurement unit (IMU) sensors are powerful enablers for acquisition of motion data. Specifically, in human activity recognition (HAR), IMU sensor data collected from human motion are categorically combined to formulate datasets that can be used for learning human activities. However, successful learning of human activities from motion data involves the design and use of proper feature representations of IMU sensor data and suitable classifiers. Furthermore, the scarcity of labelled data is an impeding factor in the process of understanding the performance capabilities of data-driven learning models. To tackle these challenges, two primary contributions are in this article: first; by using raw IMU sensor data, a spectrogram-based feature extraction approach is proposed. Second, an ensemble of data augmentations in feature space is proposed to take care of the data scarcity problem. Performance tests were conducted on a deep long term short term memory (LSTM) neural network architecture to explore the influence of feature representations and the augmentations on activity recognition accuracy. The proposed feature extraction approach combined with the data augmentation ensemble produces state-of-the-art accuracy results in HAR. A performance evaluation of each augmentation approach is performed to show the influence on classification accuracy. Finally, in addition to using our own dataset, the proposed data augmentation technique is evaluated against the University of California, Irvine (UCI) public online HAR dataset and yields state-of-the-art accuracy results at various learning rates.
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De Boeck, Muriel, and Kristof Vaes. "STRUCTURING HUMAN AUGMENTATION WITHIN PRODUCT DESIGN." Proceedings of the Design Society 1 (July 27, 2021): 2731–40. http://dx.doi.org/10.1017/pds.2021.534.

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AbstractHuman augmentation is a thriving research field that aims to amplify human abilities through the development of technological improvements as an integral part of the human body. Human augmentation products may be made for anyone, ranging from healthy users wanting to enhance their human abilities to users who face temporary or permanent disabilities, physical impairments, or perilous situations that oblige them to use these products.This article attempts to introduce readers to the domain of human augmentation by providing a thorough formulation of the concept and its related terms to develop a more solid structural basis. Additionally, a categorical and dimensional classification of the field was given. Based on these findings, we then proposed a novel framework in the form of a diagrammatic presentation of both classifications, which could enable product designers to better understand and characterize the type of human augmentation product they are designing by determining its location in the diagram. Finally, the proposed framework was evaluated by introducing and classifying several significant human augmentation products most of which have proven to successfully exceed human abilities.
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Inami, Masahiko, Hiroyasu Iwata, Minao Kukita, Yuichi Kurita, Kouta Minamizawa, Masaaki Mochimaru, Takuji Narumi, Junichi Rekimoto, and Kenji Suzuki. "Special Issue on Augmenting the Human Body and Being." Journal of Robotics and Mechatronics 33, no. 5 (October 20, 2021): 985–86. http://dx.doi.org/10.20965/jrm.2021.p0985.

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Information technologies, such as IoT, artificial intelligence (AI), and virtual reality (VR), have seen so much development that there is now a wide variety of digital equipment incorporated into the infrastructure of daily life. From the agrarian society (Society 1.0) through the information society (Society 4.0), humankind has created farmlands and cities by structuring natural environments physically and has built information environments by structuring them informationally. However, despite the rapid development of information environments, it may be fair to say that the perspectives of the human body have not changed at all since the industrial revolution. In the context of these recent technological developments, greater attention is being paid to human augmentation studies. These studies aim for a new embodiment of “human-computer integration,” one which can physically and informationally compensate or augment our innate sensory functions, motor functions, and intellectual processing functions by using digital equipment and information systems at will, as if they were our hands and feet. It has also been proposed that the technical systems that enable us to freely do what we want by utilizing human augmentations be called “JIZAI” (freedomization) as opposed to “automation.” The term “JIZAI body” used in these studies represents the new body image of humans who will utilize engineering and informatics technologies to act at will in the upcoming “super smart society” or “Society 5.0.” In these studies, human augmentation technologies are an important component of JIZAI, but JIZAI is not the same as human augmentation. JIZAI is different in scope from human augmentation, as it aims to enable humans to move freely among the five new human body images: “strengthened sense” (augmented perception), “strengthened physical body” (body augmentation), “separately-designed mind and body” (out of body transform), “shadow cloning,” and “assembling.” In the society of the future where JIZAI bodies widely prevail, we will use technologies that enable us to do what we have failed at or given up due to limitations of our physical bodies. We believe that a future society, one in which aging does not reduce our capabilities but instead increased options give us hope, can be realized. This special issue, consisting of two review papers and twelve research papers, deals with diverse and wide-ranging areas, including human augmentation, robotics, virtual reality, and others. We would like to express our sincere appreciation to all the authors and reviewers of the papers contributed to this special issue and to the editorial committee of the Journal of Robotics and Mechatronics for their gracious cooperation.
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Smith, Wendy, David Johnston, Suzanne Holmes, Harrison Wensley, Sopsamorn Flavell, and David Flavell. "Augmentation of Saporin-Based Immunotoxins for Human Leukaemia and Lymphoma Cells by Triterpenoid Saponins: The Modifying Effects of Small Molecule Pharmacological Agents." Toxins 11, no. 2 (February 20, 2019): 127. http://dx.doi.org/10.3390/toxins11020127.

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Triterpenoid saponins from Saponinum album (SA) significantly augment the cytotoxicity of saporin-based immunotoxins but the mechanism of augmentation is not fully understood. We investigated the effects of six small molecule pharmacological agents, which interfere with endocytic and other processes, on SA-mediated augmentation of saporin and saporin-based immunotoxins (ITs) directed against CD7, CD19, CD22 and CD38 on human lymphoma and leukaemia cell lines. Inhibition of clathrin-mediated endocytosis or endosomal acidification abolished the SA augmentation of saporin and of all four immunotoxins tested but the cytotoxicity of each IT or saporin alone was largely unaffected. The data support the hypothesis that endocytic processes are involved in the augmentative action of SA for saporin ITs targeted against a range of antigens expressed by leukaemia and lymphoma cells. In addition, the reactive oxygen species (ROS) scavenger tiron reduced the cytotoxicity of BU12-SAP and OKT10-SAP but had no effect on 4KB128-SAP or saporin cytotoxicity. Tiron also had no effect on SA-mediated augmentation of the saporin-based ITs or unconjugated saporin. These results suggest that ROS are not involved in the augmentation of saporin ITs and that ROS induction is target antigen-dependent and not directly due to the cytotoxic action of the toxin moiety.
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Valeriani, Davide, Caterina Cinel, and Riccardo Poli. "Brain–Computer Interfaces for Human Augmentation." Brain Sciences 9, no. 2 (January 24, 2019): 22. http://dx.doi.org/10.3390/brainsci9020022.

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The field of brain–computer interfaces (BCIs) has grown rapidly in the last few decades, allowing the development of ever faster and more reliable assistive technologies for converting brain activity into control signals for external devices for people with severe disabilities [...]
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Dissertations / Theses on the topic "Human augmentation"

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Rosello, Oscar (Rosello Gil). "NeverMind : an interface for human Memory augmentation." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111494.

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Thesis: S.M. in Architecture Studies - Design and Computation, Massachusetts Institute of Technology, Department of Architecture, 2017.
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.
Cataloged from PDF version of thesis. "June 2017."
Includes bibliographical references (pages [67]-70).
If we are to understand human-level intelligence, we need to understand how memories are encoded, stored and retrieved. In this thesis, I take a step towards that understanding by focusing on a high-level interpretation of the relationship between episodic memory formation and spatial navigation. On the basis of the biologically inspired process, I focus on the implementation of NeverMind, an augmented reality (AR) interface designed to help people memorize effectively. Early experiments conducted with a prototype of NeverMind suggest that the long-term memory recall accuracy of sequences of items is nearly tripled compared to paper-based memorization tasks. For this thesis, I suggest that we can trigger episodic memory for tasks that we normally associate with semantic memory, by using interfaces to passively stimulate the hippocampus, the entorhinal cortex, and the neocortex. Inspired by the methods currently used by memory champions, NeverMind facilitates memory encoding by engaging in hippocampal activation and promoting task-specific neural firing. NeverMind pairs spatial navigation with visual cues to make memorization tasks effective and enjoyable. The contributions of this thesis are twofold: first, I developed NeverMind, a tool to facilitate memorization through a single exposure by biasing our minds into using episodic memory. When studying, we tend to use semantic memory and encoding through repetition; however, by using augmented reality interfaces we can manipulate how our brain encodes information and memorize long term content with a single exposure, making a memory champion technique accessible to anyone. Second, I provide an open-source platform for researchers to conduct high-level experiments on episodic memory and spatial navigation. In this thesis I suggest that digital user interfaces can be used as a tool to gather insights on how human memory works.
by Oscar Rosello.
S.M. in Architecture Studies - Design and Computation
S.M.
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Wargo, Matthew A. "Authenticity and the problem of human augmentation." Thesis, Boston University, 2012. https://hdl.handle.net/2144/31620.

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Thesis (M.A.)--Boston University
PLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis or dissertation. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you.
The practice of augmenting hunan beings using technological or pharmaceutical means is rapidly expanding and there are many who fear the practice may be a threat to our very humanity. In this work I trace the primary source of that concem to the moral ideal of authenticity and examine how authenticity is used in the contemporary literature on human augmentation. Each conception, or framework of authenticity in the literature is expounded on and evaluated, and each is found somewhat lacking. Finally, I propose an altemative view of authenticity based on Wittgenstein's concept of family resemblance and use it to evaluate whether particular augmentation procedures are authentic, inauthentic, or entirely neutral.
2031-01-01
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Tran, Huy. "Human resource matching through query augmentation for improving search context." Thesis, Linköpings universitet, Databas och informationsteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129571.

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The objective with the thesis is to research how to match a company's human resources with job assignments received from clients. A common problem is the difficulty for computers to distinguish what semantic context a word is in. This means that for words with multiple interpretations it is hard to determine which meaning is the correct meaning in a given context. The proposed solution is to use ontologies to implement a query augmentation that will improve defining the context through users adding suggestions of relevant words. The intuition is that by incrementally adding words, the context narrows, making it easier to search for any consultant matching a specific assignment. The query augmentation will then manifest in a web application created in NodeJS and AngularJS. The experiments will then measure, based on \emph{precision}, \emph{recall} and \emph{f-measure}, the performance of the query augmentation. The thesis will also look into how to store document-based résumés, .docx file-format, and properly enable querying over the database of résumés. The Apache based frameworks Solr and Lucene, with its inverted indexing and support for HTTP requests, are used in this thesis to solve this problem. Looking at the results, the query augmentation was indicated of having somewhat too strict restrictions for which the reason is that it only permits \emph{AND} conditions. With that said, the query augmentation was able to narrow down the search context. Future work would include adding additional query conditions and expand the visualization of the query augmentation.
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Bright, Lawrence (Lawrence Zack). "Supernumerary robotic limbs for human augmentation in overhead assembly tasks." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/111770.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 91-95).
Manufacturing tasks are highly demanding of work, and there is an especially high prevalence of injury associated with overhead tasks which are taxing to the shoulder and upper body. To assist workers completing these tasks, and to increase overall productivity, safety and effectiveness, we introduce a novel design of Supernumerary Robotic Limb (SRL). This is a robotic arm worn on the shoulder of the technician/- worker which extends the human capability with implicit force control algorithms that allow for intuitive control and interface of the extra robot arm. Affectionately dubbed Aucto, the robotic arm can lift an object and hold it while the wearer is securing the object using a tool with both hands. The worker does not have to take a laborious posture for a long time, reducing fatigue and injuries. Furthermore, a single worker can execute the task, which would otherwise require two workers. Two technical challenges and novel solutions are presented. One is to make the wearable robot simple and lightweight with use of a new type of granular jamming gripper that can grasp diverse objects from an arbitrary direction. This eliminates the need for orienting the gripper against the object with three-axis wrist joints, reducing the number of degrees of freedom (DOF) from 6 to 3. The other is an effective control algorithm that allows the wearer to move freely while the robot on the shoulder is holding an object. Unlike a robot sitting on a floor, the SRL worn by a human is disturbed by the movement of the wearer. An admittance-based control algorithm allows the robot to hold the object stably and securely despite the human movement and changes in posture. A 3 DOF prototype robot with a new granular jamming gripper and an ergonomic body mounting gear is developed and tested. It is demonstrated that the robot can hold a large object securely in the overhead area despite the movement of the wearer while performing an assembly work.
by Lawrence 'Zack' Bright.
S.M.
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Bright, Lawrence (Lawrence Zack). "Supernumerary robotic limbs for human augmentation in overhead assembly tasks." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111770.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 91-95).
Manufacturing tasks are highly demanding of work, and there is an especially high prevalence of injury associated with overhead tasks which are taxing to the shoulder and upper body. To assist workers completing these tasks, and to increase overall productivity, safety and effectiveness, we introduce a novel design of Supernumerary Robotic Limb (SRL). This is a robotic arm worn on the shoulder of the technician/- worker which extends the human capability with implicit force control algorithms that allow for intuitive control and interface of the extra robot arm. Affectionately dubbed Aucto, the robotic arm can lift an object and hold it while the wearer is securing the object using a tool with both hands. The worker does not have to take a laborious posture for a long time, reducing fatigue and injuries. Furthermore, a single worker can execute the task, which would otherwise require two workers. Two technical challenges and novel solutions are presented. One is to make the wearable robot simple and lightweight with use of a new type of granular jamming gripper that can grasp diverse objects from an arbitrary direction. This eliminates the need for orienting the gripper against the object with three-axis wrist joints, reducing the number of degrees of freedom (DOF) from 6 to 3. The other is an effective control algorithm that allows the wearer to move freely while the robot on the shoulder is holding an object. Unlike a robot sitting on a floor, the SRL worn by a human is disturbed by the movement of the wearer. An admittance-based control algorithm allows the robot to hold the object stably and securely despite the human movement and changes in posture. A 3 DOF prototype robot with a new granular jamming gripper and an ergonomic body mounting gear is developed and tested. It is demonstrated that the robot can hold a large object securely in the overhead area despite the movement of the wearer while performing an assembly work.
by Lawrence 'Zack' Bright.
S.M.
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Haaker, Jan [Verfasser], and Dorothee [Akademischer Betreuer] Dartsch. "Dopaminergic Augmentation of Human Fear Extinction / Jan Haaker. Betreuer: Dorothee Dartsch." Hamburg : Staats- und Universitätsbibliothek Hamburg, 2012. http://d-nb.info/1027573487/34.

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Pataranutaporn, Pat. "Wearable Lab and BioFab on body : towards closed-loop bio-digital human augmentation." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/130604.

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Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, September, 2020
Cataloged from the official PDF version of thesis.
Includes bibliographical references.
We explore the vision of closed-loop bio-digital interfaces for human augmentation, where the bio-digital system allows for both sensing and writing biological information to the body. Current-generation wearable devices sense an individual's physiological data such as heart rate, respiration, electrodermal activity, and EEG, but lack in sensing their biological counterparts, which drive the majority of individual's physiological signals. On the other hand, biosensors for detecting biochemical markers are currently limited to one-time use, are non-continuous and don't provide flexibility in choosing which biomarker they sense. We believe that the future for wearable biosensors lies in going beyond specific sensing capabilities and becoming a wearable "lab" on body, where a small device can offer a fully integrated and re-configurable system that mimics several processes usually performed in the laboratory for clinical diagnostics and analysis of human health. To illustrate our vision of having a lab on body, we prototyped "Wearable Lab" a bio-digital platform for sensing biochemical and digital data from saliva. Our platform contains digital sensors such as an IMU for activity recognition, as well as an automated system for continuous sampling of biomarkers from saliva by leveraging existing paper-based biochemical sensors. The platform could aid with longitudinal studies of biomarkers and early diagnosis of diseases. We present example data collected from the device, show a preliminary evaluation, and discuss the limitation of our platform.
by Pat Pataranutaporn.
S.M.
S.M. Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences
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Robinson, T. Christopher. "The sticking out parts a content analysis of print and Website advertisements on breast and penis augmentation /." unrestricted, 2008. http://etd.gsu.edu/theses/available/etd-04202008-190035/.

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Thesis (M.A.)--Georgia State University, 2008.
Title from file title page. Elizabeth Sheff, committee chair; Dawn Baunach, Denise Donnelly, committee members. Electronic text (97 p.) : digital, PDF file. Description based on contents viewed June 24, 2008. Includes bibliographical references (p. 80-85).
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O'Neill, Brian. "A computational model of suspense for the augmentation of intelligent story generation." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50416.

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In this dissertation, I present Dramatis, a computational human behavior model of suspense based on Gerrig and Bernardo's de nition of suspense. In this model, readers traverse a search space on behalf of the protagonist, searching for an escape from some oncoming negative outcome. As the quality or quantity of escapes available to the protagonist decreases, the level of suspense felt by the audience increases. The major components of Dramatis are a model of reader salience, used to determine what elements of the story are foregrounded in the reader's mind, and an algorithm for determining the escape plan that a reader would perceive to be the most likely to succeed for the protagonist. I evaluate my model by comparing its ratings of suspense to the self-reported suspense ratings of human readers. Additionally, I demonstrate that the components of the suspense model are sufficient to produce these human-comparable ratings.
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Calzavara, Ivan. "Human pose augmentation for facilitating Violence Detection in videos: a combination of the deep learning methods DensePose and VioNetHuman pose augmentation for facilitating Violence Detection in videos: a combination of the deep learning methods DensePose and VioNet." Thesis, Mittuniversitetet, Institutionen för informationssystem och –teknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-40842.

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In recent years, deep learning, a critical technology in computer vision, has achieved remarkable milestones in many fields, such as image classification and object detection. In particular, it has also been introduced to address the problem of violence detection, which is a big challenge considering the complexity to establish an exact definition for the phenomenon of violence. Thanks to the ever increasing development of new technologies for surveillance, we have nowadays access to an enormous database of videos that can be analyzed to find any abnormal behavior. However, by dealing with such huge amount of data it is unrealistic to manually examine all of them. Deep learning techniques, instead, can automatically study, learn and perform classification operations. In the context of violence detection, with the extraction of visual harmful patterns, it is possible to design various descriptors to represent features that can identify them. In this research we tackle the task of generating new augmented datasets in order to try to simplify the identification step performed by a violence detection technique in the field of Deep Learning. The novelty of this work is to introduce the usage of DensePose model to enrich the images in a dataset by highlighting (i.e. by identifying and segmenting) all the human beings present in them. With this approach we gained knowledge of how this algorithm performs on videos with a violent context and how the violent detection network benefit from this procedure. Performances have been evaluated from the point of view of segmentation accuracy and efficiency of the violence detection network, as well from the computational point of view. Results shows how the context of the scene is the major indicator that brings the DensePose model to correct segment human beings and how the context of violence does not seem to be the most suitable field for the application of this model since the common overlap of bodies (distinctive aspect of violence) acts as disadvantage for the segmentation. For this reason, the violence detection network does not exploit its full potential. Finally, we understood how such augmented datasets can boost up the training speed by reducing the time needed for the weights-update phase, making this procedure a helpful adds-on for implementations in different contexts where the identification of human beings still plays the major role.
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Books on the topic "Human augmentation"

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Pino, Robinson E., Alexander Kott, and Michael Shevenell, eds. Cybersecurity Systems for Human Cognition Augmentation. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10374-7.

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Valeriani, Davide, Hasan Ayaz, Pattie Maes, Riccardo Poli, and Nataliya Kosmyna, eds. Neurotechnologies for Human Augmentation. Frontiers Media SA, 2022. http://dx.doi.org/10.3389/978-2-88971-973-0.

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Hughes, James. Human augmentation and the age of the transhuman. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0057.

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Human augmentation is discussed in this chapter in three axes: the technological means, the ability being augmented, and the social systems that will be affected. The technological augmentations considered range from exocortical information and communication systems, to pharmaceuticals, tissue and genetic engineering, and prosthetic limbs and organs, to eventually nanomedical robotics, brain–computer interfaces and cognitive prostheses. These technologies are mapped onto the capabilities which we are in the process of enabling and augmenting, which include extending longevity and physical, sensory, and cognitive abilities, and enabling control over emotions, moral behavior, and spiritual experience. The impacts of biohybridicity via augmentation on the family, education, economy, politics, and religion are considered individually, but their aggregate effects will be non-linear and drive complex adaptations in the living machine that is our co-evolved techno-social civilization.
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Brain-Computer Interfaces for Human Augmentation. MDPI, 2019. http://dx.doi.org/10.3390/books978-3-03921-907-0.

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Kott, Alexander, Robinson E. Pino, and Michael Shevenell. Cybersecurity Systems for Human Cognition Augmentation. Springer, 2016.

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Kott, Alexander, Robinson E. Pino, and Michael Shevenell. Cybersecurity Systems for Human Cognition Augmentation. Springer, 2014.

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Kott, Alexander, Robinson E. Pino, and Michael Shevenell. Cybersecurity Systems for Human Cognition Augmentation. Springer, 2014.

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Hussain, Irfan, Dongming Gan, Domenico Prattichizzo, Chad Gregory Rose, and Yasar Ayaz, eds. Wearable Robots and Sensorimotor Interfaces: Augmentation, Rehabilitation, Assistance or substitution of human sensorimotor function. Frontiers Media SA, 2022. http://dx.doi.org/10.3389/978-2-88976-588-1.

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Szollosy, Michael. Perspectives. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0056.

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This chapter introduces the “Perspectives” section of the Handbook of Living Machines offering an overview of the different contributions gathered here that consider how biomimetic and biohybrid systems will transform our personal lives and social organizations, and how we might respond to the challenges that these transformations will inevitably pose to our ‘posthuman’ worlds. The authors in this section see it as essential that those who aspire to create living machines engage with the public to confront misconceptions, deep anxieties, and unrealistic aspirations that presently dominate the cultural imagination, and to include potential users in questions of design and utility as new technologies are being developed. Human augmentation and enhancement are other important themes addressed, raising important questions about what it means fundamentally to be ‘human’. These questions and challenges are addressed through the lens of the social and personal impacts of new technologies on human selves, the public imagination, ethics, and human relationships.
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Fleur, Johns. Part III Regimes and Doctrines, Ch.32 Theorizing the Corporation in International Law. Oxford University Press, 2016. http://dx.doi.org/10.1093/law/9780198701958.003.0033.

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This chapter redescribes the rather oblique theorizations of the corporation in public international law, by first outlining some generic characterizations of the corporation in international legal writing, before turning to two areas of international legal doctrine, practice, and scholarly work: international investment law and international human rights. In both of these areas, the corporation has often been identified with potential dysfunction within, or subtraction from, the international legal order. International legal engagement of the corporation has, accordingly, been identified with the discipline’s corrective realignment, rejuvenation or augmentation. So figured, the corporation has been central to the maintenance of prospects of, and aspirations for, ‘governance fusion’ on the global plane. Precisely because of the paragnostic way it has been known to international law, the corporation has been a pivotal figure in international legal knowledge practice.
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Book chapters on the topic "Human augmentation"

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Hanson, Vicki L., John T. Richards, and Cal Swart. "Browser Augmentation." In Human-Computer Interaction Series, 215–29. London: Springer London, 2008. http://dx.doi.org/10.1007/978-1-84800-050-6_13.

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Bergamasco, Massimo, and Hugh Herr. "Human–Robot Augmentation." In Springer Handbook of Robotics, 1875–906. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32552-1_70.

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Kazerooni, Homayoon. "Exoskeletons for Human Performance Augmentation." In Springer Handbook of Robotics, 773–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-30301-5_34.

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Augello, Agnese, Giuseppe Caggianese, and Luigi Gallo. "Human Augmentation: An Enactive Perspective." In Extended Reality, 219–28. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15546-8_19.

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Stone, Morley O., Jack Blackhurst, Jennifer Gresham, and Werner J. A. Dahm. "Development of the Quantified Human." In Trends in Augmentation of Human Performance, 181–205. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-8932-5_7.

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Accoto, Dino, Fabrizio Sergi, Nevio Luigi Tagliamonte, Giorgio Carpino, and Eugenio Guglielmelli. "A Human Augmentation Approach to Gait Restoration." In Trends in Augmentation of Human Performance, 345–77. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-8932-5_13.

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Liarokapis, Minas, Kostas J. Kyriakopoulos, and Panagiotis Artemiadis. "A Learning Scheme for EMG Based Interfaces: On Task Specificity in Motion Decoding Domain." In Trends in Augmentation of Human Performance, 3–36. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-8932-5_1.

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Callegaro, Aline Marian, Ozer Unluhisarcikli, Maciek Pietrusinski, and Constantinos Mavroidis. "Robotic Systems for Gait Rehabilitation." In Trends in Augmentation of Human Performance, 265–83. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-8932-5_10.

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Masia, Lorenzo, Maura Casadio, Valentina Squeri, Leonardo Cappello, Dalia De Santis, Jacopo Zenzeri, and Pietro Morasso. "Enhancing Recovery of Sensorimotor Functions: The Role of Robot Generated Haptic Feedback in the Re-learning Process." In Trends in Augmentation of Human Performance, 285–316. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-8932-5_11.

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Grow, David I., Amy J. Bastian, and Allison M. Okamura. "Robotic Assistance for Cerebellar Reaching." In Trends in Augmentation of Human Performance, 317–43. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-8932-5_12.

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Conference papers on the topic "Human augmentation"

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Bahrainian, Seyed Ali, and Fabio Crestani. "Augmentation of Human Memory." In the 2018 Conference. New York, New York, USA: ACM Press, 2018. http://dx.doi.org/10.1145/3176349.3176399.

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Lo, Dixon, Dan Lockton, and Stacie Rohrbach. "Experiential Augmentation." In CHI '18: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3173574.3174064.

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Kazerooni, H. "Exoskeletons for human power augmentation." In 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2005. http://dx.doi.org/10.1109/iros.2005.1545451.

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Kljun, Matjaž, Klen Čopič Pucihar, Jason Alexander, Maheshya Weerasinghe, Cuauhtli Campos, Julie Ducasse, Barbara Kopacin, Jens Grubert, Paul Coulton, and Miha Čelar. "Augmentation not Duplication." In CHI '19: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3290605.3300333.

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Maeda, Takahiro, and Norimichi Ukita. "Data Augmentation for Human Motion Prediction." In 2021 17th International Conference on Machine Vision and Applications (MVA). IEEE, 2021. http://dx.doi.org/10.23919/mva51890.2021.9511368.

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Weinberg, Gil. "Robotic Musicianship and Musical Human Augmentation." In 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 2019. http://dx.doi.org/10.1109/hri.2019.8673273.

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Kazerooni, H., and S. L. Mahoney. "Force Augmentation in Human-Robot Interaction." In 1990 American Control Conference. IEEE, 1990. http://dx.doi.org/10.23919/acc.1990.4791235.

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Quigley, Aaron. "Session details: alt.chi -- Augmentation." In CHI '15: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/3261054.

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Huber, Jochen, Jun Rekimoto, Masahiko Inami, Roy Shilkrot, Pattie Maes, Wong Meng Ee, Graham Pullin, and Suranga Chandima Nanayakkara. "Workshop on assistive augmentation." In CHI '14: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2559206.2560473.

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"VISUAL SCENE AUGMENTATION FOR ENHANCED HUMAN PERCEPTION." In 2nd International Conference on Informatics in Control, Automation and Robotics. SciTePress - Science and and Technology Publications, 2005. http://dx.doi.org/10.5220/0001173701460153.

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Reports on the topic "Human augmentation"

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Sickels, Stephen J. Human Augmentation of Reasoning Through Patterning (HARP). Fort Belvoir, VA: Defense Technical Information Center, April 2008. http://dx.doi.org/10.21236/ada481794.

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