J
Jit Biswas
Researcher at Institute for Infocomm Research Singapore
Publications - 112
Citations - 2072
Jit Biswas is an academic researcher from Institute for Infocomm Research Singapore. The author has contributed to research in topics: Wireless sensor network & Sensor fusion. The author has an hindex of 25, co-authored 110 publications receiving 1863 citations. Previous affiliations of Jit Biswas include Agency for Science, Technology and Research & Singapore University of Technology and Design.
Papers
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Journal ArticleDOI
Deployment of assistive living technology in a nursing home environment: methods and lessons learned
Hamdi Aloulou,Mounir Mokhtari,Thibaut Tiberghien,Jit Biswas,Clifton Phua,Jinhong Kenneth Lin,Philip Yap +6 more
TL;DR: This paper presents the approach to develop and deploy a system for ambient assistive living in an operating nursing home, and evaluates its performance and usability in real conditions, and emphasises on the importance of deployments in real world settings as opposed to prototype testing in laboratories.
Book
Activity Recognition in Pervasive Intelligent Environments
TL;DR: This book consists of a number of chapters addressing different aspects of activity recognition, roughly in three main categories of topics, focused on activity modeling, representation and reasoning using mathematical models, knowledge representation formalisms and AI techniques.
Proceedings ArticleDOI
Analysis and comparison of sleeping posture classification methods using pressure sensitive bed system
TL;DR: This study presents the use of Kurtosis and skewness estimation, principal component analysis (PCA) and support vector machines (SVMs) for sleeping posture classification using cost-effective pressure sensitive mattress that can help caregivers to make correct sleeping posture changes for the prevention of pressure ulcers.
Journal ArticleDOI
Ballistocardiogram signal processing: a review.
TL;DR: The sensors that are being used for obtaining ballistocardiogram signals are introduced and an in-depth review of the signal processing methods as applied to the various sensors are presented, to analyze the BCG signal and extract physiological parameters such heart rate and breathing rate, as well as determining sleep stages.
Proceedings ArticleDOI
An ontology-based context model in monitoring and handling agitation behavior for persons with dementia
TL;DR: The use of the Web ontology language (OWL) to model agitation quantification using scale to assess observed agitation in persons with dementia of the Alzheimer type, intervention and social contexts to build an integrated monitoring and intervention system that exceeds the current state-of-the-art in robustness, intelligence and scalability is described.