56 citations · 57 across the 9 of their papers we have counts for
5 papers · 1 filter
Hand Gesture Classification Based on Forearm Ultrasound Video Snippets Using 3D Convolutional Neural Networks
Keshav Bimbraw, Ankit Talele, Haichong K. Zhang
Ultrasound based hand movement estimation is a crucial area of research with applications in human-machine interaction. Forearm ultrasound offers detailed information about muscle…
Improving Intersession Reproducibility for Forearm Ultrasound based Hand Gesture Classification through an Incremental Learning Approach
Keshav Bimbraw, Jack Rothenberg, Haichong K. Zhang
Ultrasound images of the forearm can be used to classify hand gestures towards developing human machine interfaces. In our previous work, we have demonstrated gesture classificatio…
Forearm Ultrasound based Gesture Recognition on Edge
Keshav Bimbraw, Haichong K. Zhang, Bashima Islam
Ultrasound imaging of the forearm has demonstrated significant potential for accurate hand gesture classification. Despite this progress, there has been limited focus on developing…
Random Channel Ablation for Robust Hand Gesture Classification with Multimodal Biosignals
Keshav Bimbraw, Jing Liu, Ye Wang +1
Biosignal-based hand gesture classification is an important component of effective human-machine interaction. For multimodal biosignal sensing, the modalities often face data loss…
GPT Sonograpy: Hand Gesture Decoding from Forearm Ultrasound Images via VLM
Keshav Bimbraw, Ye Wang, Jing Liu +1
Large vision-language models (LVLMs), such as the Generative Pre-trained Transformer 4-omni (GPT-4o), are emerging multi-modal foundation models which have great potential as power…