Vision- & Sensor-based Activity Analysis for Healthcare & Related Domains
28 February 2021, 20:00 - 21:30
- Eastern Daylight Time (UTC - 04:00)
Human activity Recognition (HAR) are explored in video-based computer vision domain and sensor-based ubiquitous research areas. Vision-based human action or activity recognition approaches are based on RGB video sequences, or depth maps, or from skeleton data – taken from normal video cameras or depth cameras. On the other hand, sensor-based activity recognition methods are basically based on the data collected from wearable sensors having accelerometer, gyroscope, or so on. There are numerous applications on HAR, however, the healthcare, elderly support, and related applications become very important arenas with huge social and financial impact. Due to the advent of various IoT sensors, it becomes more competitive as well as easier to explore different applications.
About Our Speaker: Md Atiqur Rahman Ahad, University of Dhaka
Md Atiqur Rahman Ahad, SMIEEE; Professor, University of Dhaka (DU); Specially Appointed Associate Professor, Osaka University. He studied at the University of Dhaka, University of New South Wales, and Kyushu Institute of Technology. His wrote a few books: “IoT-sensor based Activity Recognition”; “Motion History Images for Action Recognition and Understanding”; “Computer Vision and Action Recognition”, in Springer, along with several edited books. He published 160+ peer-reviewed papers/chapters, 100+ keynote/invited talks, 35+ Awards/Recognitions. He is Editorial Board Member of Scientific Reports, Nature; Assoc. Editor of Frontiers in Computer Science; Editor of Int. Journal of Affective Engineering; Editor-in-Chief: Int. Journal of Computer Vision & Signal Processing.
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