Wearable Computing for Smart Rehabilitation: A Survey

PhD Qualifying Examination


Title: "Wearable Computing for Smart Rehabilitation: A Survey"

by

Mr. Jiaxi ZHANG


Abstract:

Smart rehabilitation has emerged as a prominent field of research in response 
to the growing wave of Artificial Intelligence of Things (AIoT). This paradigm 
shift has been facilitated by the remarkable progress in the development of 
precise, lightweight, and affordable wearable sensors. These advancements have 
enabled wearable computing systems to effectively monitor various physiological 
indicators, conduct exercise analysis, and deliver real-time feedback. Given 
the essential requirement for continuous monitoring and feedback in long-term 
rehabilitation processes, wearable systems have assumed a pivotal role as the 
cornerstone of smart rehabilitation. Their integration into rehabilitation 
practices has revolutionized the way patients are monitored, analyzed, and 
guided throughout their recovery journey, fostering personalized and optimized 
rehabilitation outcomes.

In this survey, we summarize recent wearable systems for smart rehabilitation 
applications. We first give a general review of the basic concepts of 
rehabilitation and wearable systems, and mainly discuss recent smart 
rehabilitation applications based on wearable systems. We categorize the 
applications into two classes, including physiological indicator , and exercise 
monitoring and feedback. We also introduce our work on knee loading and 
muscular force estimation with a calibration-free design as our first attempt 
toward designing wearable systems for smart rehabilitation. At the end of this 
survey, we discuss future research directions and conclude this survey.


Date:                   Wednesday, 8 May 2024

Time:                   3:00pm - 5:00pm

Venue:                  Room 5501
                        Lifts 25/26

Committee Members:      Prof. Qian Zhang (Supervisor)
                        Prof. Song Guo (Chairperson)
                        Prof. Mo Li
                        Dr. Wei Wang