most citedRehabilitation Exercise Repetition Segmentation and Counting using Skeletal Body Joints

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

SemUV: Deep Learning based semantic manipulation over UV texture map of virtual human heads

Anirban Mukherjee, Venkat Suprabath Bitra, Vignesh Bondugula +2

Designing and manipulating virtual human heads is essential across various applications, including AR, VR, gaming, human-computer interaction and VFX. Traditional graphic-based app…

cs.CV2024

RID-TWIN: An end-to-end pipeline for automatic face de-identification in videos

Anirban Mukherjee, Monjoy Narayan Choudhury, Dinesh Babu Jayagopi

Face de-identification in videos is a challenging task in the domain of computer vision, primarily used in privacy-preserving applications. Despite the considerable progress achiev…

cs.LG2024

Multi-objective Feature Selection in Remote Health Monitoring Applications

Le Ngu Nguyen, Constantino Álvarez Casado, Manuel Lage Cañellas +4

Radio frequency (RF) signals have facilitated the development of non-contact human monitoring tasks, such as vital signs measurement, activity recognition, and user identification.…

cs.CV20232 cited

Rehabilitation Exercise Repetition Segmentation and Counting using Skeletal Body Joints

Ali Abedi, Paritosh Bisht, Riddhi Chatterjee +4

Physical exercise is an essential component of rehabilitation programs that improve quality of life and reduce mortality and re-hospitalization rates. In AI-driven virtual rehabili…

cs.HC2023

Bag of States: A Non-sequential Approach to Video-based Engagement Measurement

Ali Abedi, Chinchu Thomas, Dinesh Babu Jayagopi +1

Automatic measurement of student engagement provides helpful information for instructors to meet learning program objectives and individualize program delivery. Students' behaviora…