Classification Algorithm for Person Identification and Gesture Recognition Based on Hand Gestures with Small Training Sets [PDF]
Sensors, 2020 Classification algorithms require training data initially labelled by classes to build a model and then to be able to classify the new data. The amount and diversity of training data affect the classification quality and usually the larger the training ...
Krzysztof Rzecki
exaly +4 more sources
An Intelligent Gesture Classification Model for Domestic Wheelchair Navigation with Gesture Variance Compensation. [PDF]
Appl Bionics Biomech, 2020 Elderly and disabled population is rapidly increasing. It is important to uplift their living standards by improving the confidence towards daily activities. Navigation is an important task, most elderly and disabled people need assistance with. Replacing human assistance with an intelligent system which is capable of assisting human navigation via ...
Bandara HMRT +4 more
europepmc +4 more sources
A Machine Learning Processing Pipeline for Reliable Hand Gesture Classification of FMG Signals with Stochastic Variance. [PDF]
Sensors (Basel), 2021 ForceMyography (FMG) is an emerging competitor to surface ElectroMyography (sEMG) for hand gesture recognition. Most of the state-of-the-art research in this area explores different machine learning algorithms or feature engineering to improve hand ...
Asfour M, Menon C, Jiang X.
europepmc +2 more sources
sEMG-Based Hand-Gesture Classification Using a Generative Flow Model [PDF]
Sensors, 2019 Wentao Sun, Huaxin Liu, Yiran Lang
exaly +4 more sources
3D Skeletal Joints-Based Hand Gesture Spotting and Classification
Applied Sciences (Switzerland), 2021 This paper presents a novel approach to continuous dynamic hand gesture recognition. Our approach contains two main modules: gesture spotting and gesture classification. Firstly, the gesture spotting module pre-segments the video sequence with continuous
Thinh Phan +2 more
exaly +3 more sources
Simultaneous Hand Gesture Classification and Finger Angle Estimation via a Novel Dual-Output Deep Learning Model. [PDF]
Sensors (Basel), 2020 Hand gesture classification and finger angle estimation are both critical for intuitive human–computer interaction. However, most approaches study them in isolation.
Gao Q, Jiang S, Shull PB.
europepmc +2 more sources
Progressive Rehabilitation Based on EMG Gesture Classification and an MPC-Driven Exoskeleton. [PDF]
Bioengineering (Basel), 2023 Stroke is a leading cause of disability and death worldwide, with a prevalence of 200 millions of cases worldwide. Motor disability is presented in 80% of patients.
Bonilla D +7 more
europepmc +2 more sources
Investigation of Channel Selection for Gesture Classification for Prosthesis Control Using Force Myography: A Case Study. [PDF]
Front Bioeng Biotechnol, 2019 Background: Various human machine interfaces (HMIs) are used to control prostheses, such as robotic hands. One of the promising HMIs is Force Myography (FMG).
Ahmadizadeh C, Pousett B, Menon C.
europepmc +2 more sources
Generalizable gesture classification of HDsEMG using volume representations of muscles averaged across multiple individuals. [PDF]
Sci RepHuman hands can perform far more gestures than the number of muscles controlling them, as most gestures result from coordinated combinations of muscle activations and relaxations.
Lundsberg J +3 more
europepmc +2 more sources
Wrist EMG Improves Gesture Classification for Stroke Patients. [PDF]
IEEE Int Conf Rehabil Robot, 2023 Olsen CD +4 more
europepmc +3 more sources