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Vision- and Sensor-based Human Activity Recognition
Globally, research activities on healthcare, elderly support, smart homes, activity of daily living (ADL) are progressing rapidly due to the advent of IoT sensor-based systems and devices. There is a huge progress recently on vision-based activity and gait analysis – because of the availability of GPUs and the intense involvement of deep learning-based methodologies. However, the challenges are complex and diversified, and hence, the progress in these domains are still constrained by a number of genuine challenges. In this webinar, these scopes and challenges will be summarized and some way outs will be outlined. The talk will be mainly based on the following works:
• MAR Ahad, “Computer Vision and Action Recognition: A Guide for Image Processing and Computer Vision Community for Action Understanding,” Springer, 2011.
• MAR Ahad, “Motion History Images for Action Recognition and Understanding,” Springer, 2013.
• MAR Ahad, AD Antar, and M Ahmed, “IoT Sensor-Based Activity Recognition - Human Activity Recognition,” to appear in Springer Nature Switzerland AG, 2020.
• MAR Ahad, U Mahbub, and T Rahman, “Contactless Human Activity Analysis,” Edited book, to appear in Springer Nature Switzerland AG, 2020.

Feb 17, 2020 08:00 AM in Eastern Time (US and Canada)

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