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Introduction to the Issue on Person-Centered Signal Processing for Assistive, Rehabilitative, and Wearable Health Technologies


Sethuraman Panchanathan, Diane Cook, Noel O'Connor, Mrinal Mandal, Mohan Kankanhalli

Publication Type: 
Refereed Original Article
HUMAN-CENTERED computing (HCC) has emerged as a major interdisciplinary subfield of engineering that puts the human at the center of research activities and places emphasis on understanding human behavior, needs, preferences, and societal and cultural differences to design better technologies. The theories and practices of HCC draw from and have contributed to many fields of computational science, including signal processing. However, people’s behaviors and abilities are unique and change with time due to age, context, and geographical location, among many other factors, necessitating technologies that closely adapt to people rather than people always adapting to technology. This is readily evident in assistive, rehabilitative, and wearable health technology applications where the target population is often individuals with disabilities.
Digital Object Identifer (DOI): 
Publication Status: 
Date Accepted for Publication: 
Monday, 25 July, 2016
Publication Date: 
IEEE Journal of Selected Topics in Signal Processing
Research Group: 
Dublin City University (DCU)
Open access repository: