AIMC Topic: Gestures

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Differentiating hand gestures from forearm muscle activity using machine learning.

International journal of occupational safety and ergonomics : JOSE Aug 14, 2024
This study explored the use of forearm electromyography data to distinguish eight hand gestures. The neural network (NN) and random forest (RF) algorithms were tested on data from 10 participants. As window sizes increase from 200 ms to 1000 ms, the ...
Algorithms Female Young Adult Humans Neural Networks, Computer Machine Learning Muscle, Skeletal Hand Electromyography Forearm Adult Male Gestures
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Enhanced Hand Gesture Recognition with Surface Electromyogram and Machine Learning.

Sensors (Basel, Switzerland) Aug 13, 2024
This study delves into decoding hand gestures using surface electromyography (EMG) signals collected via a precision Myo-armband sensor, leveraging machine learning algorithms. The research entails rigorous data preprocessing to extract features and ...
Machine Learning Algorithms Female Humans Gestures Signal Processing, Computer-Assisted Hand Electromyography Young Adult Adult Male Pattern Recognition, Automated Movement
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Sea Horse Optimization-Deep Neural Network: A Medication Adherence Monitoring System Based on Hand Gesture Recognition.

Sensors (Basel, Switzerland) Aug 12, 2024
Medication adherence is an essential aspect of healthcare for patients and is important for achieving medical objectives. However, the lack of standard techniques for measuring adherence is a global concern, making it challenging to accurately monito...
Wearable Electronic Devices Gestures Neural Networks, Computer Medication Adherence Smartphone Humans Machine Learning Mobile Applications Algorithms Hand
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Integration of Tracking, Re-Identification, and Gesture Recognition for Facilitating Human-Robot Interaction.

Sensors (Basel, Switzerland) Jul 25, 2024
For successful human-robot collaboration, it is crucial to establish and sustain quality interaction between humans and robots, making it essential to facilitate human-robot interaction (HRI) effectively. The evolution of robot intelligence now enabl...
Gestures Robotics Pattern Recognition, Automated Humans Artificial Intelligence Algorithms
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Combinatorial Bionic Hierarchical Flexible Strain Sensor for Sign Language Recognition with Machine Learning.

ACS applied materials & interfaces Jul 15, 2024
Flexible strain sensors have been widely researched in fields such as smart wearables, human health monitoring, and biomedical applications. However, achieving a wide sensing range and high sensitivity of flexible strain sensors simultaneously remain...
Printing, Three-Dimensional Bionics Sign Language Wearable Electronic Devices Gestures Humans Machine Learning
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Coupled Multimodal Emotional Feature Analysis Based on Broad-Deep Fusion Networks in Human-Robot Interaction.

IEEE transactions on neural networks and learning systems Jul 8, 2024
A coupled multimodal emotional feature analysis (CMEFA) method based on broad-deep fusion networks, which divide multimodal emotion recognition into two layers, is proposed. First, facial emotional features and gesture emotional features are extracte...
Pattern Recognition, Automated Facial Expression Databases, Factual Deep Learning Gestures Support Vector Machine Emotions Robotics Humans Neural Networks, Computer Algorithms
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Elbow Gesture Recognition with an Array of Inductive Sensors and Machine Learning.

Sensors (Basel, Switzerland) Jun 28, 2024
This work presents a novel approach for elbow gesture recognition using an array of inductive sensors and a machine learning algorithm (MLA). This paper describes the design of the inductive sensor array integrated into a flexible and wearable sleeve...
Wearable Electronic Devices Gestures Elbow Female Signal Processing, Computer-Assisted Pattern Recognition, Automated Adult Humans Male Machine Learning Algorithms
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Post-stroke hand gesture recognition via one-shot transfer learning using prototypical networks.

Journal of neuroengineering and rehabilitation Jun 12, 2024
BACKGROUND: In-home rehabilitation systems are a promising, potential alternative to conventional therapy for stroke survivors. Unfortunately, physiological differences between participants and sensor displacement in wearable sensors pose a significa...
Stroke Rehabilitation Transfer, Psychology Hand Electromyography Stroke Middle Aged Humans Adult Wearable Electronic Devices Female Neural Networks, Computer Male Gestures Aged Machine Learning
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Real-Time Arabic Sign Language Recognition Using a Hybrid Deep Learning Model.

Sensors (Basel, Switzerland) Jun 6, 2024
Sign language is an essential means of communication for individuals with hearing disabilities. However, there is a significant shortage of sign language interpreters in some languages, especially in Saudi Arabia. This shortage results in a large pro...
Saudi Arabia Gestures Sign Language Neural Networks, Computer Humans Language Deep Learning
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Breaking the silence: empowering the mute-deaf community through automatic sign language decoding.

Biomedizinische Technik. Biomedical engineering Jun 4, 2024
OBJECTIVES: The objective of this study is to develop a system for automatic sign language recognition to improve the quality of life for the mute-deaf community in Egypt. The system aims to bridge the communication gap by identifying and converting ...
Humans Neural Networks, Computer Quality of Life Gestures Egypt Sign Language Deaf Culture
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