Recent advances of deep learning for sign language recognition
To assist the social interaction of deaf and hearing impaired people, efficient interactive
communication tools is expected. With the growing research interest in action and gesture …
communication tools is expected. With the growing research interest in action and gesture …
Proximity Sensing Electronic Skin: Principles, Characteristics, and Applications
B Wu, T Jiang, Z Yu, Q Zhou, J Jiao… - Advanced Science, 2024 - Wiley Online Library
The research on proximity sensing electronic skin has garnered significant attention. This
electronic skin technology enables detection without physical contact and holds vast …
electronic skin technology enables detection without physical contact and holds vast …
Assistive data glove for isolated static postures recognition in american sign language using neural network
Sign language recognition is one of the most challenging tasks of today's era. Most of the
researchers working in this domain have focused on different types of implementations for …
researchers working in this domain have focused on different types of implementations for …
Leveraging Machine Learning for Personalized Wearable Biomedical Devices: A Review
A Olyanasab, M Annabestani - Journal of Personalized Medicine, 2024 - mdpi.com
This review investigates the convergence of artificial intelligence (AI) and personalized
health monitoring through wearable devices, classifying them into three distinct categories …
health monitoring through wearable devices, classifying them into three distinct categories …
CaptAinGlove: Capacitive and inertial fusion-based glove for real-time on edge hand gesture recognition for drone control
We present CaptAinGlove, a textile-based, low-power (≤ 1.15 Watts), privacy-conscious,
real-time on-the-edge (RTE) glove-based solution with a tiny memory footprint (≤ 2MB) …
real-time on-the-edge (RTE) glove-based solution with a tiny memory footprint (≤ 2MB) …
A novel feature fusion technique for robust hand gesture recognition
Gesture recognition has emerged as a crucial field of research due to its wide range of
applications, such as human-computer interaction, sign language interpretation, and virtual …
applications, such as human-computer interaction, sign language interpretation, and virtual …
Dynamic hand proprioception via a wearable glove with fabric sensors
L Behnke, L Sanchez-Botero… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
Continuous enhancement in wearable technologies has led to several innovations in the
healthcare, virtual reality, and robotics sectors. One form of wearable technology is wear …
healthcare, virtual reality, and robotics sectors. One form of wearable technology is wear …
A multi-functional electronic glove for multidimensional environmental perception and gesture recognition
W Gao, J Yao, X Yue, H Yu - Sensors and Actuators A: Physical, 2024 - Elsevier
In recent years, wearable electronic gloves with rich sensing functions have garnered
widespread attention. Researchers are exploring various aspects of wearable devices …
widespread attention. Researchers are exploring various aspects of wearable devices …
Wide range bimodal tensile/compressive sensor based on composite foam
W Gao, J Yao, X Chen - IEEE Transactions on Instrumentation …, 2024 - ieeexplore.ieee.org
Limited by the range and sensitivity of sensors, monitoring multifunctional signals during
human movement with a single sensor remains a major challenge. Here, we developed a …
human movement with a single sensor remains a major challenge. Here, we developed a …
A sensing data and deep learning-based sign language recognition approach
W Hao, C Hou, Z Zhang, X Zhai, L Wang… - Computers and Electrical …, 2024 - Elsevier
Correct sign language recognition helps deaf people communicate normally with hearing
people. However, existing sign language recognition techniques have low recognition …
people. However, existing sign language recognition techniques have low recognition …