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HAR-sEMG: A Dataset for Human Activity Recognition on Lower-Limb sEMG
Knowledge and Information Systems, 2021In the past decade, human activity recognition (HAR) has grown in popularity due to its applications in security and entertainment. As recent years have witnessed the emergence of health care and exoskeleton robotics which make use of wearable suits, human–machine interaction based on action recognition performs an important role in multimedia ...
Yu Luan +5 more
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Applied Psychophysiology and Biofeedback, 2003
This article reviews the current techniques of surface electromyography (SEMG) assessment. Discussed are static, dynamic, and combination assessment techniques and the rational for their use.
Stuart, Donaldson +2 more
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This article reviews the current techniques of surface electromyography (SEMG) assessment. Discussed are static, dynamic, and combination assessment techniques and the rational for their use.
Stuart, Donaldson +2 more
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sEMG-Based Gesture Recognition Using Temporal History
IEEE Transactions on Biomedical Engineering, 2023Surface electromyography (sEMG) patterns have been decoded using learning-based methods that determine complicated nonlinear decision boundaries. However, overlapping classes in sEMG pattern recognition still degrade the classification accuracy because they cannot be separated by the decision boundaries. We hypothesized that certain overlapping classes
Chaerin Hong, Seongsik Park, Keehoon Kim
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Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2013
Certain muscle activities (e.g. static muscle activities for prolonged periods of time) and resultant movement patterns may be associated with the development of cumulative trauma disorders. Currently, there is no simple, well-defined measure to discern if a muscle is performing a static or dynamic activity.
Timothy J. Duffield +3 more
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Certain muscle activities (e.g. static muscle activities for prolonged periods of time) and resultant movement patterns may be associated with the development of cumulative trauma disorders. Currently, there is no simple, well-defined measure to discern if a muscle is performing a static or dynamic activity.
Timothy J. Duffield +3 more
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Continuous human gait tracking using sEMG signals
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020Gait can reflect human biological status during walking, which can be used for disease detect, identity verification or robot control, etc. Traditionally, gait analysis only classifies a gait cycle into a few discrete stages. In this paper, human gait will be decoded continuously using surface electromography (sEMG).
Dezhen, Xiong +3 more
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Facial Expression Recognition with sEMG Method
2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 2015Facial expression recognition has broad application prospects in the fields of psychological study, nursing care, Human Computer Interaction as well as affective computing. The method with surface Electromyogram (sEMG), which is one of vital bio-signals, has its superiority in several aspects such as high temporal resolution and data processing ...
Tenhunen Aarne Hannu Kristian +4 more
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Key Engineering Materials, 2014
The sEMG (surface electromyographic) plays a significant role in the rehabilitation medicine, particularly in exoskeleton robotic treatment. A sEMG recording system using STM32F407 DISCOVERY development board and Labview software, combined with multiple signal acquisition sensors was proposed in this paper. The UC/OS-II operating system was embedded in
Yong Sheng Gao +4 more
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The sEMG (surface electromyographic) plays a significant role in the rehabilitation medicine, particularly in exoskeleton robotic treatment. A sEMG recording system using STM32F407 DISCOVERY development board and Labview software, combined with multiple signal acquisition sensors was proposed in this paper. The UC/OS-II operating system was embedded in
Yong Sheng Gao +4 more
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INDEPENDENT COMPONENT APPROACH TO THE ANALYSIS OF HAND GESTURE sEMG AND FACIAL sEMG
Biomedical Engineering: Applications, Basis and Communications, 2008Independent component analysis algorithm, a recently developed multivariate statistical data analysis technique, has been successfully used for signal extraction in the field of biomedical and statistical signal processing. This paper reviews the concept of ICA and demonstrates its usefulness and limitations in the context of surface electromyogram ...
Naik, Ganesh R. (R19010) +3 more
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