Emerging wearable interfaces and algorithms for hand gesture recognition: A survey
Hands are vital in a wide range of fundamental daily activities, and neurological diseases
that impede hand function can significantly affect quality of life. Wearable hand gesture …
that impede hand function can significantly affect quality of life. Wearable hand gesture …
A review of hand gesture recognition systems based on noninvasive wearable sensors
R Tchantchane, H Zhou, S Zhang… - Advanced Intelligent …, 2023 - Wiley Online Library
Hand gesture, one of the essential ways for a human to convey information and express
intuitive intention, has a significant degree of differentiation, substantial flexibility, and high …
intuitive intention, has a significant degree of differentiation, substantial flexibility, and high …
Active upper limb prostheses: A review on current state and upcoming breakthroughs
The journey of a prosthetic user is characterized by the opportunities and the limitations of a
device that should enable activities of daily living (ADL). In particular, experiencing a bionic …
device that should enable activities of daily living (ADL). In particular, experiencing a bionic …
Dynamic hand gesture recognition based on signals from specialized data glove and deep learning algorithms
Y Dong, J Liu, W Yan - IEEE Transactions on Instrumentation …, 2021 - ieeexplore.ieee.org
Gesture recognition as a natural, convenient and recognizable way has been received more
and more attention on human-machine interaction (HMI) recently. However, visual-based …
and more attention on human-machine interaction (HMI) recently. However, visual-based …
American sign language words recognition using spatio-temporal prosodic and angle features: A sequential learning approach
SB Abdullahi, K Chamnongthai - IEEE Access, 2022 - ieeexplore.ieee.org
Most of the available American Sign Language (ASL) words share similar characteristics.
These characteristics are usually during sign trajectory which yields similarity issues and …
These characteristics are usually during sign trajectory which yields similarity issues and …
Review of flexible strain sensors based on cellulose composites for multi-faceted applications
Z Chen, T Yan, Z Pan - Cellulose, 2021 - Springer
Flexible strain sensors have attracted much attention due to their wide applications in
human health monitoring, motion detection, human–computer interaction, and smart robots …
human health monitoring, motion detection, human–computer interaction, and smart robots …
Back-hand-pose: 3D hand pose estimation for a wrist-worn camera via dorsum deformation network
The automatic recognition of how people use their hands and fingers in natural settings--
without instrumenting the fingers--can be useful for many mobile computing applications. To …
without instrumenting the fingers--can be useful for many mobile computing applications. To …
Cellulose based flexible and wearable sensors for health monitoring
Recently, with the advancement of materials science and manufacturing methods,
researchers have introduced many new and advanced materials for wearable sensors. In …
researchers have introduced many new and advanced materials for wearable sensors. In …
Ankle foot motion recognition based on wireless wearable sEMG and acceleration sensors for smart AFO
C Zhou, L Yang, H Liao, B Liang, X Ye - Sensors and Actuators A: Physical, 2021 - Elsevier
Ankle joint is one of the important anatomical structures of the human body, smart ankle-foot
orthosis (AFO) can assist human walking and improve the ankle motion for patients. This …
orthosis (AFO) can assist human walking and improve the ankle motion for patients. This …
Soft wrist-worn multi-functional sensor array for real-time hand gesture recognition
Soft electronics have been widely applied to wearable electronics, hand gesture detection
and human robot interaction (HRI). Soft wrist-worn sensor system (SWSS) with …
and human robot interaction (HRI). Soft wrist-worn sensor system (SWSS) with …