Gesture RecognitionHilbert TransformK-Nearest-Neighbors (KNN)Support Vector Machine (SVM)This paper presents an experiment using OPENBCI to collect data of two hand gestures and decoding the signal to distinguish gestures. The signal was extracted with three electrodes on the subject's forearm and ...
& Zhou, P. A hand gesture recognition framework and wearable gesture-based interaction prototype for mobile devices. IEEE Transactions on Human-Machine Systems 44, 293–299 (2014). Article ADS Google Scholar Hakonen, M., Piitulainen, H. & Visala, A. Current state of digital signal ...
The design of innovative analog front-end integrated circuits, combined with efficient signal processing algorithms, allows the development of platforms for monitoring, activity and gesture recognition based on embedded real-time systems. This paper describes an Electromyography pattern recognition system ...
Hand gesture recognition, stemming from the analysis of surface electromyography (sEMG) signals, offers distinct advantages in terms of portability and versatility. This technology plays a critical role in various domains, including human–computer interaction [1], rehabilitation training [2], [3], an...
EMG-based Hand Gesture Recognition With Flexible Analog Front End Conditioning and processing of biological signals represent interesting challenges for wearable electronics in health applications. Information gathering f... S Benatti,B Milosevic,F Casamassima,... 被引量: 23发表: 2014年 Man-Machine In...
EMG_Gesture_Recognition Gati Aher SP2021: Neurotechnology: Brains and Machines Overview: This project analyzes features extracted from integrated EMGs from a balanced dataset of three gestures (rock, paper, scissors) from a single subject who performed 6 trials of each of three gestures, each gestu...
Designing efficient and labor-saving prosthetic hands requires powerful hand gesture recognition algorithms that can achieve high accuracy with limited complexity and latency. In this context, the paper proposes a Compact Transformer-based Hand Gesture Recognition framework referred to as CT-HGR, which em...
Surface electromyography (sEMG), which has the advantages of being simple to acquire and quick to respond, is frequently utilized in domains like human–computer interface and prosthetic control as a control source for gesture recognition. Firstly, we propose a method to decompose the sEMG into the...
Langari. A multi-window majority voting strategy to improve hand gesture recognition accuracies using electromyography signal. IEEE Trans. Neural Syst. Rehabil. Eng. , 2020 , 28(2): 427 -436 CrossRef Google Scholar [33] F. Duan, L. Dai, W. Chang, Z. Chen, C. Zhu, and W. Li...
While demonstrating promise in gesture recognition [22] and hand therapy with serious games [23, 24], the Leap Motion generally demands precise hand positioning and controlled lighting conditions [23, 25]. It is important to emphasize that the former may present practical challenges, particularly ...