SkillNet: Human Actions Assessment via Human-AI Collaboration
SkillNet introduces a human-AI collaborative framework for assessing human actions, combining model-based scoring with human-in-the-loop feedback to achieve robust and …
Indrajeet Ghosh
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Sports Analytics Review: AI Applications, Emerging Technologies and Algorithmic Perspective
Indrajeet Ghosh
STAR-Lite: A lightweight Scalable Self-taught Learning Framework for Older Adults’ Activity Recognition
Recognizing activities for older adults is challenging as we observe a variety of activity patterns caused due to aging (e.g., limited dexterity, limb control, slower response …
DeCoach: Deep Learning-based Coaching for Badminton Player Assessment
Wearable devices have gained immense popularity among various pervasive computing and Internet-of-Things (IoT) applications in the past decade. Sports analytics researchers …
Indrajeet Ghosh
CamSense: A camera-based contact-less heart activity monitoring
Remote Photoplythysmograpy (rPPG) systems enable contactless heart activities (heart rate, heart rate variability) monitoring by estimating Photoplethysmogram (PPG) signal, blood’s …
Zahid Hasan
Happyfeet: Challenges in building an automated dance recognition and assessment tool
In this paper, we discuss our experience in building an automated dance assessment tool with IMU and IoT devices and highlight the major challenges of such an endeavor. In a …
Abu Zaher Md Faridee
An Active Sleep Monitoring Framework Using Wearables
Sleep is the most important aspect of healthy and active living. The right amount of sleep at the right time helps an individual to protect his or her physical, mental, and …
HM Sajjad Hossain
Recent trends in machine learning for human activity recognition—A survey
There has been an upsurge recently in investigating machine learning techniques for Activity Recognition (AR) problems as that have been very effective in extracting and learning …
Sreenivasan Ramasamy Ramamurthy