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Optica Celebrates Engineer Week: RGB & Skeleton Data: Some Research Examples

23 February 2023

Eastern Time (US & Canada) (UTC - 05:00)

Video and skeleton joint points are widely explored for human activity recognition (HAR). On the other hand, various sensors are engaged in human activity and behavior understanding. Vision-based activity recognition are based on RGB, depth maps, or skeleton data. Sensor-based activity recognition methods are basically based on the data collected from wearable sensors having accelerometers, gyroscopes, and so on. There are numerous applications on HAR, however, healthcare, elderly support, and related applications become very important arenas with huge social and financial impacts. Due to the advent of various IoT sensors, it becomes more competitive as well as easier to explore different applications. The keynote will cover our works related to HAR approaches, highlighting healthcare perspectives and methods.


Md Atiqur Rahman Ahad
Md Atiqur Rahman Ahad

University of East London

Image for keeping the session alive