Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Zizheng Huang"'
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
BackgroundThe wheelchair is a widely used rehabilitation device, which is indispensable for people with limited mobility. In the process of using a wheelchair, they often face the situation of sitting for a long time, which is easy to cause fatigue o
Externí odkaz:
https://doaj.org/article/688ccf1831ca4502a164f3df2c8ef5a0
Publikováno v:
Micromachines, Vol 14, Iss 6, p 1265 (2023)
At present, research on intelligent wheelchairs mostly focuses on motion control, while research on attitude-based adjustment is relatively insufficient. The existing methods for adjusting wheelchair posture generally lack collaborative control and g
Externí odkaz:
https://doaj.org/article/219ff4df54344ed29a6937f55074711b
Publikováno v:
Micromachines, Vol 13, Iss 7, p 1108 (2022)
Traditional wheelchairs are unable to actively sense the external environment during use and have a single control method. Therefore, this paper develops an intelligent IoT wheelchair with the three functions, as follows. (1) Occupant-wheelchair-envi
Externí odkaz:
https://doaj.org/article/b72ae145a1884f43bbce811b6243edea
Publikováno v:
Micromachines; Volume 14; Issue 6; Pages: 1265
At present, research on intelligent wheelchairs mostly focuses on motion control, while research on attitude-based adjustment is relatively insufficient. The existing methods for adjusting wheelchair posture generally lack collaborative control and g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::86cae83270376e24927296c4988cd5cc
By constructing a static map, the library robot can navigate and access documents autonomously, which greatly improves efficiency; however, for libraries where shelves can be moved, map changes do not allow for direct navigation, and also sensors suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7516c6184a8c0986ceaf43739717fb2
Publikováno v:
Electronics; Volume 12; Issue 1; Pages: 26
Studies have shown that driver fatigue or unpleasant emotions significantly increase driving risks. Detecting driver emotions and fatigue states and providing timely warnings can effectively minimize the incidence of traffic accidents. However, exist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46f57b6e9ea0ac35eb2563377c82500a
https://doi.org/10.3390/electronics12010026
https://doi.org/10.3390/electronics12010026
Publikováno v:
Pattern Recognition. 112:107794
In the field of computer vision, methods that use fully supervised learning and fixed deep network structures need to be improved. Currently, many studies are devoted to designing neural architecture search methods to use neural networks in a more fl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64e2325844d7a03ee85083a1f7ce17cd
https://doi.org/10.1016/j.patcog.2020.107794
https://doi.org/10.1016/j.patcog.2020.107794