AIMC Topic: Gestures

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Gesture Recognition Achieved by Utilizing LoRa Signals and Deep Learning.

Sensors (Basel, Switzerland) Feb 27, 2025
This study proposes a novel gesture recognition system based on LoRa technology, integrating advanced signal preprocessing, adaptive segmentation algorithms, and an improved SS-ResNet50 deep learning model. Through the combination of residual learnin...
Signal Processing, Computer-Assisted Pattern Recognition, Automated Deep Learning Gestures Humans Algorithms
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Eye-gesture control of computer systems via artificial intelligence.

F1000Research Feb 25, 2025
BACKGROUND: Artificial Intelligence (AI) offers transformative potential for human-computer interaction, particularly through eye-gesture recognition, enabling intuitive control for users and accessibility for individuals with physical impairments.
Computer Systems Adult Female Eye Movements Adolescent Young Adult Male User-Computer Interface Humans Gestures Middle Aged Artificial Intelligence
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IoT-driven smart assistive communication system for the hearing impaired with hybrid deep learning models for sign language recognition.

Scientific reports Feb 20, 2025
Deaf and hard-of-hearing people utilize sign language recognition (SLR) to interconnect. Sign language (SL) is vital for hard-of-hearing and deaf individuals to communicate. SL uses varied hand gestures to speak words, sentences, or letters. It aids ...
Humans Deep Learning Hearing Loss Persons with Hearing Disabilities Communication Devices for People with Disabilities Gestures Internet of Things Sign Language
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Convolutional neural network for gesture recognition human-computer interaction system design.

PloS one Feb 19, 2025
Gesture interaction applications have garnered significant attention from researchers in the field of human-computer interaction due to their inherent convenience and intuitiveness. Addressing the challenge posed by the insufficient feature extractio...
Pattern Recognition, Automated Humans Convolutional Neural Networks Neural Networks, Computer Gestures Algorithms User-Computer Interface
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SignFormer-GCN: Continuous sign language translation using spatio-temporal graph convolutional networks.

PloS one Feb 14, 2025
Sign language is a complex visual language system that uses hand gestures, facial expressions, and body movements to convey meaning. It is the primary means of communication for millions of deaf and hard-of-hearing individuals worldwide. Tracking phy...
Translating Sign Language Neural Networks, Computer Gestures Humans
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A Novel Improvement of Feature Selection for Dynamic Hand Gesture Identification Based on Double Machine Learning.

Sensors (Basel, Switzerland) Feb 13, 2025
Causal machine learning is an approach that combines causal inference and machine learning to understand and utilize causal relationships in data. In current research and applications, traditional machine learning and deep learning models always focu...
Pattern Recognition, Automated Principal Component Analysis Hand Humans Neural Networks, Computer Algorithms Gestures Machine Learning
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A low-cost transhumeral prosthesis operated via an ML-assisted EEG-head gesture control system.

Journal of neural engineering Feb 7, 2025
Key challenges in upper limb prosthetics include a lack of effective control systems, the often invasive surgical requirements of brain-controlled limbs, and prohibitive costs. As a result, disuse rates remain high despite potential for increased qua...
Prosthesis Design Head Adult Male Electroencephalography Artificial Limbs Gestures Neural Networks, Computer Humans Machine Learning
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Gesture recognition from surface electromyography signals based on the SE-DenseNet network.

Biomedizinische Technik. Biomedical engineering Jan 29, 2025
OBJECTIVES: In recent years, significant progress has been made in the research of gesture recognition using surface electromyography (sEMG) signals based on machine learning and deep learning techniques. The main motivation for sEMG gesture recognit...
Humans Machine Learning Algorithms Convolutional Neural Networks Gestures Electromyography Signal Processing, Computer-Assisted Pattern Recognition, Automated
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Real-Time On-Device Continual Learning Based on a Combined Nearest Class Mean and Replay Method for Smartphone Gesture Recognition.

Sensors (Basel, Switzerland) Jan 13, 2025
Sensor-based gesture recognition on mobile devices is critical to human-computer interaction, enabling intuitive user input for various applications. However, current approaches often rely on server-based retraining whenever new gestures are introduc...
Machine Learning Algorithms Humans Pattern Recognition, Automated Gestures Smartphone
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A real-time approach for surgical activity recognition and prediction based on transformer models in robot-assisted surgery.

International journal of computer assisted radiology and surgery Jan 12, 2025
PURPOSE: This paper presents a deep learning approach to recognize and predict surgical activity in robot-assisted minimally invasive surgery (RAMIS). Our primary objective is to deploy the developed model for implementing a real-time surgical risk m...
Gestures Minimally Invasive Surgical Procedures Robotic Surgical Procedures Humans Deep Learning
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