Hand Gesture Recognition through Reflected Infrared Light Wave Signals
In this study, we present a wireless (non-contact) gesture recognition method using only incoherent light wave signals reflected from a human subject. In comparison to existing radar, light shadow, sound and camera-based sensing systems, this technology uses a low-cost ubiquitous light source (e.g., infrared LED) to send light towards the subject's hand performing gestures and the reflected light is collected by a light sensor (e.g., photodetector). This light wave sensing system recognizes different gestures from the variations of the received light intensity within a 20-35cm range. The hand gesture recognition results demonstrate up to 96% accuracy on average. The developed system can be utilized in numerous Human-computer Interaction (HCI) applications as a low-cost and non-contact gesture recognition technology.
Code (0)
등록된 구현이 없습니다.
Tasks
Gesture RecognitionHand Gesture RecognitionHand-Gesture RecognitionSimilar Papers 제목 키워드 기반
Gesture Recognition using Reflected Visible and Infrared Light Wave Signals
In this paper, we demonstrate the ability to recognize hand gestures in a non-contact, wireless fashion using only incoherent light signals reflected from a human subject. Fundamentally distinguished from radar, lidar an…
Gesture RecognitionHand Gesture RecognitionHand-Gesture RecognitionHand Gesture Recognition Using Ultrasonic Waves
This paper presents a new method for detecting and classifying a predefined set of hand gestures using a single transmitter and a single receiver utilizing a linearly frequency modulated ultrasonic signal. Gestures are i…
Gesture RecognitionHand Gesture RecognitionHand-Gesture RecognitionSynthoGestures: A Novel Framework for Synthetic Dynamic Hand Gesture Generation for Driving Scenarios
Creating a diverse and comprehensive dataset of hand gestures for dynamic human-machine interfaces in the automotive domain can be challenging and time-consuming. To overcome this challenge, we propose using synthetic ge…
Gesture GenerationGesture RecognitionMVTN: A Multiscale Video Transformer Network for Hand Gesture Recognition
In this paper, we introduce a novel Multiscale Video Transformer Network (MVTN) for dynamic hand gesture recognition, since multiscale features can extract features with variable size, pose, and shape of hand which is a …
Gesture RecognitionHand Gesture RecognitionHand-Gesture RecognitionDriverMHG: A Multi-Modal Dataset for Dynamic Recognition of Driver Micro Hand Gestures and a Real-Time Recognition Framework
The use of hand gestures provides a natural alternative to cumbersome interface devices for Human-Computer Interaction (HCI) systems. However, real-time recognition of dynamic micro hand gestures from video streams is ch…