Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Bimbraw, Keshav"'
Ultrasound based hand movement estimation is a crucial area of research with applications in human-machine interaction. Forearm ultrasound offers detailed information about muscle morphology changes during hand movement which can be used to estimate
Externí odkaz:
http://arxiv.org/abs/2409.16431
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 classification using ultrasound on a single subject without removing the probe befo
Externí odkaz:
http://arxiv.org/abs/2409.16415
Ultrasound imaging of the forearm has demonstrated significant potential for accurate hand gesture classification. Despite this progress, there has been limited focus on developing a stand-alone end- to-end gesture recognition system which makes it m
Externí odkaz:
http://arxiv.org/abs/2409.09915
Biosignal-based hand gesture classification is an important component of effective human-machine interaction. For multimodal biosignal sensing, the modalities often face data loss due to missing channels in the data which can adversely affect the ges
Externí odkaz:
http://arxiv.org/abs/2407.10874
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 powerful artificial-intelligence (AI) assistance tools for a myriad of appl
Externí odkaz:
http://arxiv.org/abs/2407.10870
With the advancement in computing and robotics, it is necessary to develop fluent and intuitive methods for interacting with digital systems, augmented/virtual reality (AR/VR) interfaces, and physical robotic systems. Hand motion recognition is widel
Externí odkaz:
http://arxiv.org/abs/2211.15871
With the advancement in computing and robotics, it is necessary to develop fluent and intuitive methods for interacting with digital systems, AR/VR interfaces, and physical robotic systems. Hand movement recognition is widely used to enable this inte
Externí odkaz:
http://arxiv.org/abs/2109.11093
Autor:
Tsumura, Ryosuke, Hardin, John W., Bimbraw, Keshav, Odusanya, Olushola S., Zheng, Yihao, Hill, Jeffrey C., Hoffmann, Beatrice, Soboyejo, Winston, Zhang, Haichong K.
Publikováno v:
IEEE Robotics and Automation Letters (2021)
Novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a pandemic of epic proportions and a global response to prepare health systems worldwide is of utmost importance. In addition to its cost-effectiveness in a resources-limit
Externí odkaz:
http://arxiv.org/abs/2010.12335
Publikováno v:
Proceedings of SPIE; April 2024, Vol. 12932 Issue: 1 p129320Z-129320Z-5, 1163886p
Publikováno v:
2022 International Conference on Robotics and Automation (ICRA).
With the advancement in computing and robotics, it is necessary to develop fluent and intuitive methods for interacting with digital systems, AR/VR interfaces, and physical robotic systems. Hand movement recognition is widely used to enable this inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e3f1908c0648af9aee23116287049f3
https://doi.org/10.1109/icra46639.2022.9812287
https://doi.org/10.1109/icra46639.2022.9812287