A novel algorithm for mask detection and recognizing actions of human
Face recognition has become a significant challenge today since an increasing number of
individuals wear masks to avoid infection with the novel coronavirus or Covid-19. Due to its …
individuals wear masks to avoid infection with the novel coronavirus or Covid-19. Due to its …
Epileptic patient activity recognition system using extreme learning machine method
The Human Activity Recognition (HAR) system is the hottest research area in clinical
research. The HAR plays a vital role in learning about a patient's abnormal activities; based …
research. The HAR plays a vital role in learning about a patient's abnormal activities; based …
Hidden state conditional random field for abnormal activity recognition in smart homes
Y Tong, R Chen, J Gao - Entropy, 2015 - mdpi.com
As the number of elderly people has increased worldwide, there has been a surge of
research into assistive technologies to provide them with better care by recognizing their …
research into assistive technologies to provide them with better care by recognizing their …
Multilevel privacy controlling scheme to protect behavior pattern in smart IoT environment
Traditional approaches generally focus on the privacy of user's identity in a smart IoT
environment. Privacy of user's behavior pattern is an important research issue to address …
environment. Privacy of user's behavior pattern is an important research issue to address …
Unsupervised illness recognition via in-home monitoring by depth cameras
E Vildjiounaite, SM Mäkelä, T Keränen… - Pervasive and Mobile …, 2017 - Elsevier
Most of today's in-home systems for detecting illness in the elderly meet with the same
limitations: they target only single occupancy apartments, although couples may need …
limitations: they target only single occupancy apartments, although couples may need …
Modeling users' data traces in multi-resident ambient assisted living environments
Modeling users' data traces is of crucial importance for human behavior analysis and context-
aware applications in ambient assisted living (AAL) environments. However, learning the …
aware applications in ambient assisted living (AAL) environments. However, learning the …
Learning contract management and administration using a simulated game environment
Built Environment education entails the acquisition of complex technical knowledge by
students. Currently, the conventional lecture format is the dominant educational method …
students. Currently, the conventional lecture format is the dominant educational method …
[HTML][HTML] 面向智能环境的活动模式迁移学习
汪成亮， 王云鹏 - 北京航空航天大学学报, 2016 - bhxb.buaa.edu.cn
针对智能环境中活动模式的学习和挖掘花销大, 难以实际操作等问题, 提出了能够有效地将已有
活动模式迁移到新环境的整体框架. 迁移学习框架将活动模式的迁移过程分解为轨迹的迁移和 …
活动模式迁移到新环境的整体框架. 迁移学习框架将活动模式的迁移过程分解为轨迹的迁移和 …
Abnormal activity recognition using saliency and spatio-temporal interest point detector
SH Bhandari, NS Babar - … Conference, ICSCS 2018, Kollam, India, April …, 2018 - Springer
Detecting abnormal activities is a crucial research topic nowadays because of its wide
variety of applications in such as security monitoring, video surveillance and healthcare …
variety of applications in such as security monitoring, video surveillance and healthcare …
[PDF][PDF] An Energy Efficient Model for WSN's Monitoring Applications
M Imran, A Mahmood - … Journal of Computer Science and Information …, 2016 - academia.edu
Wireless Sensor Networks (WSNs) has always been promising for monitoring remote areas
where physical access is not possible. Recent advancements in microelectronics has led to …
where physical access is not possible. Recent advancements in microelectronics has led to …