Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Shaharyar Kamal"'
Autor:
Yazeed Yasin Ghadi, Madiha Javeed, Mohammed Alarfaj, Tamara Al Shloul, Suliman A. Alsuhibany, Ahmad Jalal, Shaharyar Kamal, Dong-Seong Kim
Publikováno v:
IEEE Access, Vol 10, Pp 23964-23979 (2022)
More adaptable and user-independent techniques are required for multi-sensors based daily locomotion detection (MS-DLD). This research study proposes a couple of locomotion detection methods using body-worn multi-sensors to successfully categorize se
Externí odkaz:
https://doaj.org/article/4ec857fbace645e395aa6b296495570e
Autor:
Manahil Waheed, Ahmad Jalal, Mohammed Alarfaj, Yazeed Yasin Ghadi, Tamara Al Shloul, Shaharyar Kamal, Dong-Seong Kim
Publikováno v:
IEEE Access, Vol 9, Pp 167434-167446 (2021)
Over the past few years, automatic recognition of human interactions has drawn significant attention from researchers working in the field of Artificial Intelligence (AI). And feature extraction is one of the most critical tasks in developing efficie
Externí odkaz:
https://doaj.org/article/0d35f1f57526472795297d5f884e852b
Autor:
Ahmad Jalal, Shaharyar Kamal
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 5, Iss 5, Pp 71-78 (2019)
Behavior monitoring and classification is a mechanism used to automatically identify or verify individual based on their human detection, tracking and behavior recognition from video sequences captured by a depth camera. In this paper, we designed a
Externí odkaz:
https://doaj.org/article/fc76c6d394fe4aaa8d322ba3f432aed6
Publikováno v:
Applied Sciences, Vol 11, Iss 12, p 5740 (2021)
This work presents the grouping of dependent tasks into a cluster using the Bayesian analysis model to solve the affinity scheduling problem in heterogeneous multicore systems. The non-affinity scheduling of tasks has a negative impact as the overall
Externí odkaz:
https://doaj.org/article/bbe50bc8ebef4aa29e39ad48dbed7821
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 4, Iss 4, Pp 54-62 (2017)
Increase in number of elderly people who are living independently needs especial care in the form of healthcare monitoring systems. Recent advancements in depth video technologies have made human activity recognition (HAR) realizable for elderly heal
Externí odkaz:
https://doaj.org/article/aee299c0836c4a80ae45d821ea11a22c
Publikováno v:
Sensors, Vol 14, Iss 7, Pp 11735-11759 (2014)
Recent advancements in depth video sensors technologies have made human activity recognition (HAR) realizable for elderly monitoring applications. Although conventional HAR utilizes RGB video sensors, HAR could be greatly improved with depth video se
Externí odkaz:
https://doaj.org/article/d4a469b5b7e140cd8e85849c13ee9fb5
Publikováno v:
Journal of Computer Networks and Communications, Vol 2016 (2016)
Nowadays, advancements in depth imaging technologies have made human activity recognition (HAR) reliable without attaching optical markers or any other motion sensors to human body parts. This study presents a depth imaging-based HAR system to monito
Externí odkaz:
https://doaj.org/article/db8305220c184e79bac567d6244daf42
Autor:
Ayesha Arif, Yazeed Yasin Ghadi, Mohammed Alarfaj, Ahmad Jalal, Shaharyar Kamal, Dong-Seong Kim
Publikováno v:
Computers, Materials & Continua. 72:1-18
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc8212b512da23915808ffbace913cee
https://doi.org/10.32604/cmc.2022.023553
https://doi.org/10.32604/cmc.2022.023553
Autor:
Sadaf Hafeez, Yazeed Yasin Ghadi, Mohammed Alarfaj, Tamara al Shloul, Ahmad Jalal, Shaharyar Kamal, Dong-Seong Kim
Publikováno v:
Computers, Materials & Continua. 73:4935-4952
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e0a73e785496a5a47db8ff411087bd7
https://doi.org/10.32604/cmc.2022.023841
https://doi.org/10.32604/cmc.2022.023841
Autor:
Tamara Al Shloul, Shaharyar Kamal, Manahil Waheed, Dong-Seong Kim, Yazeed Yasin Ghadi, Ahmad Jalal, Mohammed Alarfaj
Publikováno v:
IEEE Access, Vol 9, Pp 167434-167446 (2021)
Over the past few years, automatic recognition of human interactions has drawn significant attention from researchers working in the field of Artificial Intelligence (AI). And feature extraction is one of the most critical tasks in developing efficie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03c2db47896cd84bd6e9af7097fec0f9
https://ieeexplore.ieee.org/document/9627113/
https://ieeexplore.ieee.org/document/9627113/