Results 11 to 20 of about 9,632 (295)
WHO-Hand Hygiene Gesture Classification System
CoRR, 2021 The recent ongoing coronavirus pandemic highlights the importance of hand hygiene practices in our daily lives, with governments and worldwide health authorities promoting good hand hygiene practices. More than one million cases of hospital-acquired infections occur in Europe annually.
Bakshi R.
europepmc +3 more sources
BLSTM-RNN based 3D Gesture Classification [PDF]
, 2013 This paper presents a new robust method for inertial MEM (MicroElectroMechanical systems) 3D gesture recognition. The linear acceleration and the angular velocity, respectively provided by the accelerometer and the gyrometer, are sampled in time resulting in 6D values at each time step which are used as inputs for the gesture recognition system.
Grégoire Lefebvre +3 more
openalex +4 more sources
Gestures are strings: efficient online gesture spotting and classification using string matching [PDF]
Proceedings of the Second International Conference on Body Area Networks BodyNets, 2007 Context awareness is one mechanism that allows wearable computers to provide information proactively, unobtrusively and with minimal user disturbance. Gestures and activities are an important aspect of the user's context. Detection and classification of gestures may be computationally expensive for low-power, miniaturized wearable platforms, such as ...
Thomas Stiefmeier +2 more
openalex +2 more sources
GesID: 3D Gesture Authentication Based on Depth Camera and One-Class Classification
Sensors, 2018 Biometric authentication is popular in authentication systems, and gesture as a carrier of behavior characteristics has the advantages of being difficult to imitate and containing abundant information.
Jiro Tanaka, Tanaka Jiro
exaly +3 more sources
Comparative Study of sEMG Feature Evaluation Methods Based on the Hand Gesture Classification Performance. [PDF]
Sensors (Basel)Hellara H +4 more
europepmc +3 more sources
Lightweight Visual Dynamic Gesture Recognition System Based on CNN-LSTM-DSA [PDF]
Sensors (Basel)Addressing the challenges of large-scale gesture recognition models, high computational complexity, and inefficient deployment on embedded devices, this study designs and implements a visual dynamic gesture recognition system based on a lightweight CNN ...
Wang Z, Wu Z, Qi R, Dou X.
europepmc +2 more sources
Applying Pattern-based Classification to Sequences of Gestures
, 2015 The pattern-based sequence classification system (PBSC) identifies regularly occurring patterns in collections of sequences and uses these patterns to predict meta-information. This automated system has been proven useful in identifying patterns in written language and musical notations.
Suzanne Aussems +3 more
openalex +3 more sources
Gesture Classification Based On Channel State Information [PDF]
Proceedings of the 2024 7th International Conference on Signal Processing and Machine LearningMelissa Chimwere +2 more
openalex +2 more sources
Wi-NN: Human Gesture Recognition System Based on Weighted KNN
Applied Sciences, 2023 Gesture recognition, the basis of human–computer interaction (HCI), is a significant component for the development of smart home, VR, and senior care management.
Yajun Zhang +4 more
doaj +1 more source
Optimised EMG pipeline for gesture classification
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022 In the expanding field of robotic prosthetics, surface electromyography (sEMG) signals can be decoded to seamlessly control a robotic prosthesis to perform the desired gesture. It is essential to create a pipeline, which can acquire, process, and accurately classify sEMG signals in order to replicate the desired hand gesture in near real-time and in a ...
Jarlath Warner +2 more
openaire +4 more sources