A survey on hand gesture recognition based on surface electromyography: Fundamentals, methods, applications, challenges and future trends
S Ni, MAA Al-qaness, A Hawbani, D Al-Alimi… - Applied Soft …, 2024 - Elsevier
Hand gestures are crucial for develo** prosthetic and rehabilitation devices, enabling
intuitive human–computer interaction (HCI) and improving accessibility for individuals with …
intuitive human–computer interaction (HCI) and improving accessibility for individuals with …
[HTML][HTML] Wearable device for personalized EMG feedback-based treatments
Curative effects of electromyography (EMG) feedback in treatment of various conditions
and/or recovery after injuries have been earlier reported. However, wider application on …
and/or recovery after injuries have been earlier reported. However, wider application on …
Stretchable self-powered TENG sensor array for human robot interaction based on conductive ionic gels and LSTM neural network
W Dong, K Sheng, B Huang, K **ong, K Liu… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
The flexible and stretchable self-powered sensors are widely applied to the Internet of
Things (IoT), human motion monitoring, and human-robot interaction (HRI), and it reveals …
Things (IoT), human motion monitoring, and human-robot interaction (HRI), and it reveals …
Enhanced user interaction in operating systems through machine learning language models
C Zhang, W Lu, C Ni, H Wang… - … Conference on Image …, 2024 - spiedigitallibrary.org
With the large language model showing human-like logical reasoning and understanding
ability, whether agents based on the large language model can simulate the interaction …
ability, whether agents based on the large language model can simulate the interaction …
[HTML][HTML] Using machine learning algorithms for grasp strength recognition in rehabilitation planning
The augmentation of individuals' quality of life, particularly those with disabilities, can be
achieved through state-of-the-art artificial intelligence solutions. Machine learning …
achieved through state-of-the-art artificial intelligence solutions. Machine learning …
[HTML][HTML] Evaluation of impact of image augmentation techniques on two tasks: Window detection and window states detection
S Wang - Results in Engineering, 2024 - Elsevier
The detection of windows and their states from building façade images is crucial for
applications such as digital twins and building performance simulations. Deep learning …
applications such as digital twins and building performance simulations. Deep learning …
Comparative Analysis of Machine Learning and Deep Learning Techniques for Hand Gesture Recognition Using Surface Electromyography
SVH Salazar, JC Preciado… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Hand gesture recognition for the control of rehabilitation and assistive technologies is still a
field to be explored. This study investigated the effectiveness of different methods for …
field to be explored. This study investigated the effectiveness of different methods for …
[CITAZIONE][C] Hybrid Convolution-Based Efficientnet-Based Hand Gesture Recognition Framework with Optimized Algorithm
J Jency Rubia, R Babitha Lincy… - International Journal of …, 2024 - World Scientific
The difficulties in communication and hearing are an important concern for deaf–dumb
people, which stop access to their essential and basic needs. Many findings have been …
people, which stop access to their essential and basic needs. Many findings have been …