7 citations · 8 across the 5 of their papers we have counts for
5 papers
Posture-Driven Action Intent Inference for Playing style and Fatigue Assessment
Abhishek Jaiswal, Nisheeth Srivastava
Posture-based mental state inference has significant potential in diagnosing fatigue, preventing injury, and enhancing performance across various domains. Such tools must be resear…
Real-Time Feedback and Benchmark Dataset for Isometric Pose Evaluation
Abhishek Jaiswal, Armeet Singh Luthra, Purav Jangir +2
Isometric exercises appeal to individuals seeking convenience, privacy, and minimal dependence on equipments. However, such fitness training is often overdependent on unreliable di…
Learning to Play Video Games with Intuitive Physics Priors
Abhishek Jaiswal, Nisheeth Srivastava
Video game playing is an extremely structured domain where algorithmic decision-making can be tested without adverse real-world consequences. While prevailing methods rely on image…
Benchmarking Reliability of Deep Learning Models for Pathological Gait Classification
Abhishek Jaiswal, Nisheeth Srivastava
Early detection of neurodegenerative disorders is an important open problem, since early diagnosis and treatment may yield a better prognosis. Researchers have recently sought to l…
Using Learnable Physics for Real-Time Exercise Form Recommendations
Abhishek Jaiswal, Gautam Chauhan, Nisheeth Srivastava
Good posture and form are essential for safe and productive exercising. Even in gym settings, trainers may not be readily available for feedback. Rehabilitation therapies and fitne…