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rMEA: An R package to assess nonverbal synchronization in motion energy analysis time-series
Psychotherapy Research, 2020Introduction. Motion Energy Analysis (MEA) is a procedure that allows to automatically assess the amount of persons’ movement from video recordings. Recent studies used MEA to investigate nonverbal synchrony, i.e., the occurrence of simultaneous movement,
J. R. Kleinbub, Fabian T Ramseyer
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Design and analysis of motion and energy regulating vibration harvester
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2021In this paper a novel design of energy harvester has been proposed, which converts harmonic or random vibrations energy into useful electric power. The energy harvester comprises of mechanical motion rectifier, motion regulator, strain energy storage element and a rotary electric generator.
Nitin Satpute +4 more
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Motion energy analysis (MEA): A primer on the assessment of motion from video.
Journal of counseling and psychology, 2019Nonverbal behavior is a central factor influencing the therapeutic relationship. Despite broad agreement on its importance, empirical studies assessing nonverbal behavior in counseling and psychotherapy are relatively scarce and often limited to few ...
Fabian T Ramseyer
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, 2021
This paper proposes a three-beam impact energy harvester (TIEH) to enhance the energy harveting efficiency for low-frequency rotational motion. The design includes three beams, including the excitation beam, the harvesting beam and the protection beam ...
Xiaobo Rui +5 more
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This paper proposes a three-beam impact energy harvester (TIEH) to enhance the energy harveting efficiency for low-frequency rotational motion. The design includes three beams, including the excitation beam, the harvesting beam and the protection beam ...
Xiaobo Rui +5 more
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Energy analysis of robot task motions
Journal of Intelligent and Robotic Systems, 1991An energy criterion for choosing the best type of manipulator for a specified task is developed. First, the energy required to perform the robotic task is calculated. Then the lower bound of the mechanical energy consumed by the various kinds of manipulators during their motion, while performing a task, is calculated.
Oded Maimon, Eli Profeta, Sigmond Singer
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IEEE Transactions on Industrial Informatics, 2020
In this article, dual-sided permanent magnet linear motors (DPMLM) have been wildly applied in linear motion occasions such as high-precision laser cutting machines. This article researches a new way for accurate demagnetization fault detection of DPMLM,
Juncai Song +6 more
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In this article, dual-sided permanent magnet linear motors (DPMLM) have been wildly applied in linear motion occasions such as high-precision laser cutting machines. This article researches a new way for accurate demagnetization fault detection of DPMLM,
Juncai Song +6 more
semanticscholar +1 more source
Smart materials and structures (Print), 2020
In order to solve the problem that when the piezoelectric cantilever generator captures the low-frequency vibration, the structural resonance frequency bandwidth is small and the generating capacity cannot be fully developed.
Lipeng He +5 more
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In order to solve the problem that when the piezoelectric cantilever generator captures the low-frequency vibration, the structural resonance frequency bandwidth is small and the generating capacity cannot be fully developed.
Lipeng He +5 more
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Analysis Motion Imagination EEG Signal in Spatiotemporal-energy domain
Proceedings of the 2019 3rd International Conference on Computer Science and Artificial Intelligence, 2019Brain is the most advanced part of the nervous system. As an emerging neighborhood exploring the brain, the brain-computer interface (BCI) may completely influence people's current communication and lifestyle in the future. We propose an architecture for feature extraction and classification model in brain-computer interface (BCI).
Zhengyan Sheng +5 more
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Steady state analysis of a human motion electromechanical energy harvester
2016 28th International Conference on Microelectronics (ICM), 2016The topic of electric energy harvesting from mechanical vibrations has been gaining increasing momentum due to its wide range of potential applications. Recently, harvesting from human motion has been especially considered appealing due to the sharp increase in the fabrication of wearable and biomedical devices. This paper presents an analytical steady
Mohammed A. Adly, Amr A. Adly
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Motion energy analysis (MEA): A primer on the assessment of motion from video.
Journal of Counseling Psychology, 2020Nonverbal behavior is a central factor influencing the therapeutic relationship. Despite broad agreement on its importance, empirical studies assessing nonverbal behavior in counseling and psychotherapy are relatively scarce and often limited to few cases. One restraining factor may be the resources needed when assessing nonverbal behavior.
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