Low-Latency Gesture Recognition From Spatial Filtering of Single-Element Ultrasound Signals-Reference-Cited by-同舟云学术

Low-Latency Gesture Recognition From Spatial Filtering of Single-Element Ultrasound Signals

Published:2023 Issue: Volume:72 Page:1-9
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

He Jiayuan¹^ORCID,He Hongchen²^ORCID,Pradhan Ashirbad³^ORCID,Jiang Ning¹^ORCID

Affiliation:

1. National Clinical Research Center for Geriatric and the Med-X Center for Manufacturing, West China Hospital, Sichuan University, Chengdu, China

2. Rehabilitation Medicine Center, the Institute of Rehabilitation Medicine, and the Key Laboratory of Rehabilitation Medicine in Sichuan Province, Sichuan University, Chengdu, China

3. Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada

Funder

Science and Technology Major Project of Tibetan Autonomous Region of China

West China Hospital

key project from Med-X Center for Manufacturing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10158236.pdf?arnumber=10158236

Reference34 articles.

1. Robust Hand Motion Tracking through Data Fusion of 5DT Data Glove and Nimble VR Kinect Camera Measurements

2. Study on Interaction Between Temporal and Spatial Information in Classification of EMG Signals for Myoelectric Prostheses

3. A Study on Sensor System Latency in VR Motion Sickness

4. Improving the functionality, robustness, and adaptability of myoelectric control for dexterous motion restoration

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Non-Intrusive Ultrasound-Based Sensing Technique for Activity Detection: Proof of Concept Towards Optimized Personalized Comfort;2024 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv);2024-06-12

2. Continuous Hand Gestures Detection and Recognition in Emergency Human-Robot Interaction Based on the Inertial Measurement Unit;IEEE Transactions on Instrumentation and Measurement;2024