Results 51 to 60 of about 143,644 (164)

EnNet: Enhanced Interactive Information Network with Zero-Order Optimization

Sensors
Interactive image segmentation extremely accelerates the generation of high-quality annotation image datasets, which are the pillars of the applications of deep learning.
Yingzhao Shao, Yanxin Chen, Pengfei Yang, Fei Cheng   +3 more
doaj   +1 more source

Highly Robust and Wearable Facial Expression Recognition via Deep-Learning-Assisted, Soft Epidermal Electronics

Research, 2021
The facial expressions are a mirror of the elusive emotion hidden in the mind, and thus, capturing expressions is a crucial way of merging the inward world and virtual world.
Meiqi Zhuang, Lang Yin, Youhua Wang, Yunzhao Bai, Jian Zhan, Chao Hou, Liting Yin, Zhangyu Xu, Xiaohui Tan, YongAn Huang   +9 more
doaj   +1 more source

Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances

Sensors, 2022
Mobile and wearable devices have enabled numerous applications, including activity tracking, wellness monitoring, and human–computer interaction, that measure and improve our daily lives.
Shibo Zhang, Yaxuan Li, Shen Zhang, Farzad Shahabi, Stephen Xia, Yu Deng, Nabil Alshurafa   +6 more
doaj   +1 more source

A Systematic Review of Wearable Devices for Orientation and Mobility of Adults With Visual Impairment and Blindness

IEEE Access, 2021
Wearable devices have been developed to improve the navigation of blind and visually impaired people. With technological advancements, the application of wearable devices has been increasing. This systematic review aimed to explore existing literature on
Aline Darc Piculo Dos Santos, Ana Harumi Grota Suzuki, Fausto Orsi Medola, Atiyeh Vaezipour   +3 more
doaj   +1 more source

Wearable Computing for Health and Fitness: Exploring the Relationship between Data and Human Behaviour [PDF]

, 2016
Health and fitness wearable technology has recently advanced, making it easier for an individual to monitor their behaviours. Previously self generated data interacts with the user to motivate positive behaviour change, but issues arise when relating ...
Alomainy, Akram, Haddadi, Hamed, Hänsel, Katrin, Wilde, Natalie   +3 more
core   +1 more source

WristEye: Wrist-Wearable Devices and a System for Supporting Elderly Computer Learners

IEEE Access, 2016
Today, there is an increase in the number of elderly people who want to start using computers and the Internet. However, elderly people are hindered by limited education, limited knowledge of digital information, words they do not know, and not knowing ...
Liang-Bi Chen, Hong-Yuan Li, Wan-Jung Chang, Jing-Jou Tang, Katherine Shu-Min Li   +4 more
doaj   +1 more source

Swing-phase detection of locomotive mode transitions for smooth multi-functional robotic lower-limb prosthesis control

Frontiers in Robotics and AI
Robotic lower-limb prostheses, with their actively powered joints, may significantly improve amputee users’ mobility and enable them to obtain healthy-like gait in various modes of locomotion in daily life.
Md Rejwanul Haque, Md Rafi Islam, Edward Sazonov, Xiangrong Shen   +3 more
doaj   +1 more source

A system for synthetic vision and augmented reality in future flight decks [PDF]

, 2000
Rockwell Science Center is investigating novel human-computer interaction techniques for enhancing the situational awareness in future flight decks. One aspect is to provide intuitive displays that provide the vital information and the spatial awareness ...
Behringer, R, McGee, J, Sundareswaran, V, Tam, C, Vassiliou, M   +4 more
core  

Automated Diagnosis of Major Depressive Disorder With Multi-Modal MRIs Based on Contrastive Learning: A Few-Shot Study

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Depression ranks among the most prevalent mood-related psychiatric disorders. Existing clinical diagnostic approaches relying on scale interviews are susceptible to individual and environmental variations.
Tongtong Li, Yuhui Guo, Ziyang Zhao, Miao Chen, Qiang Lin, Xiping Hu, Zhijun Yao, Bin Hu   +7 more
doaj   +1 more source

A Pervasive Approach to EEG-Based Depression Detection

Complexity, 2018
Nowadays, depression is the world’s major health concern and economic burden worldwide. However, due to the limitations of current methods for depression diagnosis, a pervasive and objective approach is essential.
Hanshu Cai, Jiashuo Han, Yunfei Chen, Xiaocong Sha, Ziyang Wang, Bin Hu, Jing Yang, Lei Feng, Zhijie Ding, Yiqiang Chen, Jürg Gutknecht   +10 more
doaj   +1 more source