Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Panneer Selvam Santhalingam"'
Publikováno v:
Proceedings of the ACM on Measurement and Analysis of Computing Systems. 7:1-26
With MIMO and enhanced beamforming features, IEEE 802.11ay is poised to create the next generation of mmWave WLANs that can provide over 100 Gbps data rate. However, beamforming between densely deployed APs and clients incurs unacceptable overhead. O
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::437a45e14affee41d139adc97b5dcfee
https://doi.org/10.1145/3589975
https://doi.org/10.1145/3589975
Autor:
Pengfei Hu, Wenhao Li, Yifan Ma, Panneer Selvam Santhalingam, Parth Pathak, Hong Li, Huanle Zhang, Guoming Zhang, Xiuzhen Cheng, Prasant Mohapatra
Publikováno v:
IEEE Transactions on Mobile Computing. :1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29b64a8de8ffd79bb3056803fa22cd84
https://doi.org/10.1109/tmc.2022.3226690
https://doi.org/10.1109/tmc.2022.3226690
Autor:
Pengfei Hu, Hui Zhuang, Panneer Selvam Santhalingam, Riccardo Spolaor, Parth Pathak, Guoming Zhang, Xiuzhen Cheng
With the increasing popularity of voice-based applications, acoustic eavesdropping has become a serious threat to users' privacy. While on smartphones the access to microphones needs an explicit user permission, acoustic eavesdropping attacks can rel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e65d8084d85b6ed2347d59814228335f
http://arxiv.org/abs/2212.01042
http://arxiv.org/abs/2212.01042
Publikováno v:
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c827732b58bc1aa4ce6f55ed434fca6e
https://doi.org/10.1109/infocom48880.2022.9796940
https://doi.org/10.1109/infocom48880.2022.9796940
Publikováno v:
Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::820611216c609a59ec9c918e5b109ab7
https://doi.org/10.1145/3508396.3512871
https://doi.org/10.1145/3508396.3512871
Autor:
Al Amin Hosain, Huzefa Rangwala, Parth H. Pathak, Raja S. Kushalnagar, Ding Zhang, Panneer Selvam Santhalingam
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 4:1-30
Home assistant devices such as Amazon Echo and Google Home have become tremendously popular in the last couple of years. However, due to their voice-controlled functionality, these devices are not accessible to Deaf and Hard-of-Hearing (DHH) people.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3354196054e2f18506c586906f99525
https://doi.org/10.1145/3381010
https://doi.org/10.1145/3381010
Publikováno v:
WACV
Gestures in American Sign Language (ASL) are characterized by fast, highly articulate motion of upper body, including arm movements with complex hand shapes and facial expressions. In this work, we propose a new method for word-level sign recognition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1b1e15936f75fd597b0ac365c0a5e44
https://doi.org/10.1109/wacv48630.2021.00347
https://doi.org/10.1109/wacv48630.2021.00347
Publikováno v:
DSAA
This work presents an approach for American Sign Language (ASL) gesture recognition from videos. Gestures are comprised of various upper body motions involving hand shapes, motion of both hands with facial expression and head movements. Previous appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f532e2af87cef0d9e23fa78ebe880e8c
https://doi.org/10.1109/dsaa49011.2020.00033
https://doi.org/10.1109/dsaa49011.2020.00033
Autor:
Riley Wilkerson, Parth H. Pathak, Raja Kushalnagar, Ding Zhang, Yuanqi Du, Al Amin Hosain, Panneer Selvam Santhalingam, Huzefa Rangwala
Publikováno v:
SECON
Over half a million people in the United States use American Sign Language (ASL) as their primary mode of communication. Automatic ASL recognition would enable Deaf and Hard of Hearing (DHH) users to interact with others who are not familiar with ASL
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7429ce9a13fd01ef996c19f80575a113
https://doi.org/10.1109/secon48991.2020.9158441
https://doi.org/10.1109/secon48991.2020.9158441
Publikováno v:
FG
American Sign Language recognition is a difficult gesture recognition problem, characterized by fast, highly articulate gestures. These are comprised of arm movements with different hand shapes, facial expression and head movements. Among these compo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b15ba8c423eda9b6bff44ab7ad82783
http://arxiv.org/abs/2003.08753
http://arxiv.org/abs/2003.08753