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A Survey of Teleceptive Sensing for Wearable Assistive Robotic Devices

by 1,2,* and 1,2,3
1
Neural Engineering for Prosthetics and Orthotics Lab, Center of Bionic Medicine, Shirley Ryan AbilityLab (Formerly Rehabilitation Institute of Chicago), Chicago, IL 60611, USA
2
Biomedical Engineering Department, Northwestern University, Evanston, IL 60208, USA
3
Physical Medicine and Rehabilitation Department, Northwestern University, Evanston, IL 60208, USA
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(23), 5238; https://doi.org/10.3390/s19235238
Received: 16 September 2019 / Revised: 4 November 2019 / Accepted: 21 November 2019 / Published: 28 November 2019
(This article belongs to the Special Issue Sensor Fusion in Assistive and Rehabilitation Robotics)
Teleception is defined as sensing that occurs remotely, with no physical contact with the object being sensed. To emulate innate control systems of the human body, a control system for a semi- or fully autonomous assistive device not only requires feedforward models of desired movement, but also the environmental or contextual awareness that could be provided by teleception. Several recent publications present teleception modalities integrated into control systems and provide preliminary results, for example, for performing hand grasp prediction or endpoint control of an arm assistive device; and gait segmentation, forward prediction of desired locomotion mode, and activity-specific control of a prosthetic leg or exoskeleton. Collectively, several different approaches to incorporating teleception have been used, including sensor fusion, geometric segmentation, and machine learning. In this paper, we summarize the recent and ongoing published work in this promising new area of research. View Full-Text
Keywords: assistive robotics; rehabilitation robotics; teleceptive sensing; environment; computer vision; depth sensing; prostheses; exoskeletons assistive robotics; rehabilitation robotics; teleceptive sensing; environment; computer vision; depth sensing; prostheses; exoskeletons
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MDPI and ACS Style

Krausz, N.E.; Hargrove, L.J. A Survey of Teleceptive Sensing for Wearable Assistive Robotic Devices. Sensors 2019, 19, 5238. https://doi.org/10.3390/s19235238

AMA Style

Krausz NE, Hargrove LJ. A Survey of Teleceptive Sensing for Wearable Assistive Robotic Devices. Sensors. 2019; 19(23):5238. https://doi.org/10.3390/s19235238

Chicago/Turabian Style

Krausz, Nili E., and Levi J. Hargrove. 2019. "A Survey of Teleceptive Sensing for Wearable Assistive Robotic Devices" Sensors 19, no. 23: 5238. https://doi.org/10.3390/s19235238

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