Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Parth H. Pathak"'
Autor:
Pengfei Hu, Zizhan Zheng, Sencun Zhu, Prasant Mohapatra, Aveek K. Das, Tianbo Gu, Hao Fu, Parth H. Pathak
Publikováno v:
IEEE Transactions on Mobile Computing. 20:3066-3080
While mobile apps often need to transmit sensitive information out to support various functionalities, they may also abuse the privilege by leaking the data to unauthorized third parties. This makes us question: Is the given transmission required to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45d3902ee3c5ebb52fb0f451fccdbee0
https://doi.org/10.1109/tmc.2020.2992253
https://doi.org/10.1109/tmc.2020.2992253
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:
IEEE Transactions on Mobile Computing. 19:1603-1617
LED-to-camera communication allows LEDs deployed for illumination purposes to modulate and transmit data which can be received by camera sensors available in mobile devices like smartphones, wearable smart-glasses, etc. Such communication has a uniqu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d06d55b9ddf468839800a925ea7de23
https://doi.org/10.1109/tmc.2019.2913832
https://doi.org/10.1109/tmc.2019.2913832
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:
HotNets
Although existing work has demonstrated the feasibility of streaming volumetric content to a single user, there exist many appealing applications (e.g., classroom education and collaborative design) that involve multiple users who watch the same volu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a50e09d44314435cedd67b1431af5e3
https://doi.org/10.1145/3484266.3487396
https://doi.org/10.1145/3484266.3487396
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
Publikováno v:
WiNTECH@MOBICOM
Backscattering RFIDs have emerged as a versatile platform for low-power wireless networking and sensing in the era of Internet-of-Things (IoT). At the same time, millimeter-wave (mmWave) wireless has gained substantial attraction with high-speed WLAN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9db620ae68bdf7161b790a1c05dc6218
https://doi.org/10.1145/3411276.3412189
https://doi.org/10.1145/3411276.3412189
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
