Principal component analysis of photoplethysmography signals for improved gesture recognition
Frontiers in Neuroscience, 2022 In recent years, researchers have begun to introduce photoplethysmography (PPG) signal into the field of gesture recognition to achieve human-computer interaction on wearable device.
Yuwen Ruan +3 more
doaj +1 more source
Toward natural interaction in the real world: real-time gesture recognition [PDF]
, 2010 Using a new hand tracking technology capable of tracking 3D hand postures in real-time, we developed a recognition system for continuous natural gestures.
Davis, Randall, Yin, Ying
core +2 more sources
Online Human Gesture Recognition using Recurrent Neural Networks and Wearable Sensors [PDF]
, 2018 Gestures are a natural communication modality for humans. The ability to interpret gestures is fundamental for robots aiming to naturally interact with humans. Wearable sensors are promising to monitor human activity, in particular the usage of triaxial accelerometers for gesture recognition have been explored.
arxiv +1 more source
Real-Time Hand Gesture Monitoring Model Based on MediaPipe’s Registerable System
SensorsHand gesture recognition plays a significant role in human-to-human and human-to-machine interactions. Currently, most hand gesture detection methods rely on fixed hand gesture recognition.
Yuting Meng +3 more
doaj +1 more source
Hand Gesture Recognition Based on Active Ultrasonic Sensing of Smartphone: A Survey
IEEE Access, 2019 With the rapid development of Internet of Things, hand gesture recognition has drawn wide attention in the field of ubiquitous computing because it provides us with simple and natural human-computer interaction mode.
Zhengjie Wang +6 more
doaj +1 more source
A Pathway into Metaverse: Gesture Recognition Enabled by Wearable Resistive Sensors
Advanced Sensor Research, 2023 Hand gesture recognition is of great importance for human–Metaverse interaction. The human hand is relatively smaller, with very complex articulations than the entire human body.
Shengshun Duan +6 more
doaj +1 more source
IEEE Access, 2022 To solve the problem of the low recognition rate of continuous dynamic gestures in Chinese sign language, a non-invasive end-to-end continuous dynamic gesture recognition system combining Inertial Measurement Unit (IMU) signal and surface ...
Jinquan Li +3 more
doaj +1 more source
Computer vision-based hand gesture recognition for human-robot interaction: a review
Complex & Intelligent Systems, 2023 As robots have become more pervasive in our daily life, natural human-robot interaction (HRI) has had a positive impact on the development of robotics. Thus, there has been growing interest in the development of vision-based hand gesture recognition for ...
Jing Qi, Li Ma, Zhenchao Cui, Yushu Yu
doaj +1 more source
AirWare: Utilizing Embedded Audio and Infrared Signals for In-Air Hand-Gesture Recognition [PDF]
arXiv, 2021 We introduce AirWare, an in-air hand-gesture recognition system that uses the already embedded speaker and microphone in most electronic devices, together with embedded infrared proximity sensors. Gestures identified by AirWare are performed in the air above a touchscreen or a mobile phone.
arxiv
Gesture Recognition and Hand Tracking for Anti-Counterfeit Palmvein Recognition
Applied Sciences, 2023 At present, COVID-19 is posing a serious threat to global human health. The features of hand veins in infrared environments have many advantages, including non-contact acquisition, security, privacy, etc., which can remarkably reduce the risks of COVID ...
Jiawei Xu, Lu Leng, Byung-Gyu Kim
doaj +1 more source