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Human Activity Recognition and Control of Wearable Robots

Abstract Wearable robotics has gained huge popularity in recent years due to its wide applications in rehabilitation, military, and industrial fields. The weakness of the skeletal muscles in the aging population and neurological injuries such as stroke and spinal cord injuries seriously limit the abilities of these individuals to perform daily activities. Therefore, there is an increasing attention in the development of wearable robots to assist the elderly and patients with disabilities for motion assistance and rehabilitation. In military and industrial sectors, wearable robots can increase the productivity of workers and soldiers. It is important for the wearable robots to maintain smooth interaction with the user while evolving in complex enviro... (more)
Created Date 2018
Contributor Chinimilli, Prudhvi Tej (Author) / Redkar, Sangram (Advisor) / Zhang, Wenlong (Advisor) / Sugar, Thomas G (Committee member) / Lee, Hyunglae (Committee member) / Marvi, Hamidreza (Committee member) / Arizona State University (Publisher)
Subject Aerospace engineering / Robotics / Mechanical engineering / Human Activity Recognition / Human Robot Interaction / Machine Learning / Signal Processing / Wearable Robotics / Wearable Sensors
Type Doctoral Dissertation
Extent 206 pages
Language English
Note Doctoral Dissertation Aerospace Engineering 2018
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis