uMoDT: an unobtrusive multi-occupant detection and tracking using robust Kalman filter for real-time activity recognition
Abstract
Human activity recognition (HAR) is an important branch of human-centered research. Advances in wearable and unobtrusive technologies offer many opportunities for HAR. While much progress has been made in HAR using wearable technology, it still remains a challenging task using unobtrusive (non-wearable) sensors. This paper investigates detection and tracking of multi-occupant HAR in a smart-home environment, using a novel low-resolution Thermal...
Paper Details
Title
uMoDT: an unobtrusive multi-occupant detection and tracking using robust Kalman filter for real-time activity recognition
Published Date
Jun 23, 2020
Journal
Volume
26
Issue
5
Pages
553 - 569
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