AIMC Topic: Gestures

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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...
Adult Male Wearable Electronic Devices Signal Processing, Computer-Assisted Pattern Recognition, Automated Gestures Elbow Machine Learning Algorithms Female Humans
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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 Stroke Rehabilitation Transfer, Psychology Gestures Hand Machine Learning Electromyography Humans Female Neural Networks, Computer Aged Adult Male Middle Aged Wearable Electronic Devices
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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...
Deep Learning Saudi Arabia Gestures Humans Neural Networks, Computer Language Sign Language
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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 ...
Gestures Egypt Humans Sign Language Neural Networks, Computer Deaf Culture Quality of Life
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Dual Stream Long Short-Term Memory Feature Fusion Classifier for Surface Electromyography Gesture Recognition.

Sensors (Basel, Switzerland) Jun 4, 2024
Gesture recognition using electromyography (EMG) signals has prevailed recently in the field of human-computer interactions for controlling intelligent prosthetics. Currently, machine learning and deep learning are the two most commonly employed meth...
Machine Learning Algorithms Deep Learning Gestures Humans Neural Networks, Computer Signal Processing, Computer-Assisted Pattern Recognition, Automated Hand Electromyography
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Across Sessions and Subjects Domain Adaptation for Building Robust Myoelectric Interface.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 27, 2024
Gesture interaction via surface electromyography (sEMG) signal is a promising approach for advanced human-computer interaction systems. However, improving the performance of the myoelectric interface is challenging due to the domain shift caused by t...
Male Humans Gestures Healthy Volunteers Female User-Computer Interface Muscle, Skeletal Neural Networks, Computer Young Adult Electromyography Algorithms Adult
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Human-cobot collaboration's impact on success, time completion, errors, workload, gestures and acceptability during an assembly task.

Applied ergonomics May 6, 2024
The 5.0 industry promotes collaborative robots (cobots). This research studies the impacts of cobot collaboration using an experimental setup. 120 participants realized a simple and a complex assembly task. 50% collaborated with another human (H/H) a...
Man-Machine Systems Cooperative Behavior Adult Male Gestures Workload Task Performance and Analysis Time Factors Robotics Humans Female Young Adult
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Mapping Method of Human Arm Motion Based on Surface Electromyography Signals.

Sensors (Basel, Switzerland) Apr 29, 2024
This paper investigates a method for precise mapping of human arm movements using sEMG signals. A multi-channel approach captures the sEMG signals, which, combined with the accurately calculated joint angles from an Inertial Measurement Unit, allows ...
Male Gestures Signal Processing, Computer-Assisted Neural Networks, Computer Algorithms Adult Humans Electromyography Arm Movement
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End-to-End Ultrasonic Hand Gesture Recognition.

Sensors (Basel, Switzerland) Apr 25, 2024
As the number of electronic gadgets in our daily lives is increasing and most of them require some kind of human interaction, this demands innovative, convenient input methods. There are limitations to state-of-the-art (SotA) ultrasound-based hand ge...
Pattern Recognition, Automated Humans Ultrasonics Neural Networks, Computer Machine Learning Gestures Algorithms Ultrasonography Hand
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Study on Gesture Recognition Method with Two-Stream Residual Network Fusing sEMG Signals and Acceleration Signals.

Sensors (Basel, Switzerland) Apr 24, 2024
Currently, surface EMG signals have a wide range of applications in human-computer interaction systems. However, selecting features for gesture recognition models based on traditional machine learning can be challenging and may not yield satisfactory...
Neural Networks, Computer Machine Learning Algorithms Signal Processing, Computer-Assisted Humans Hand Electromyography Biomechanical Phenomena Acceleration Gestures Pattern Recognition, Automated
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