JOURNAL ARTICLE

Classification of daily-life postural transitions using trunk-worn wearable barometric pressure sensor

Abstract

Distinguishing sedentary from dynamic behavior is essential in addressing disease conditions that are influenced by mobility. Event-based activity recognition algorithms essentially rely on accurate classification of siting and standing postural transitions to distinguish whether the subject is sitt

Keywords:
Wearable computer Trunk Computer science Event (particle physics) Atmospheric pressure Artificial intelligence Physical medicine and rehabilitation Medicine Embedded system Geography

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FWCI (Field Weighted Citation Impact)
2
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0.16
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Topics

Context-Aware Activity Recognition Systems
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Balance, Gait, and Falls Prevention
Health Sciences →  Health Professions →  Physical Therapy, Sports Therapy and Rehabilitation
Gait Recognition and Analysis
Physical Sciences →  Engineering →  Biomedical Engineering
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