Paper Info
Title
Improving ultrasound-based gesture recognition using a partially shielded single microphone.
Abstract
We propose a method to improve ultrasound-based in-air gesture recognition by altering the acoustic characteristics of a microphone. The Doppler effect is often utilized to recognize ultrasound-based gestures. However, increasing the number of gestures is difficult because of the limited information obtained from the Doppler effect. In this study, we partially shield a microphone with a 3D-printed cover. The cover alters the sensitivity of the microphone and the characteristics of the obtained Doppler effect. Since the proposed method utilizes a 3D-printed cover with a single microphone and speaker embedded in a device, it does not require additional electronic devices to improve gesture recognition. We design four different microphone covers and evaluate the performance of the proposed method on six gestures with eight participants. The evaluation results confirm that recognition accuracy is increased by 15.3% by utilizing the proposed method.
Year
DOI
Venue
2018
10.1145/3267242.3267274
UbiComp '18: The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing Singapore Singapore October, 2018
Keywords
Field
DocType
Gesture recognition, ultrasound, wearable computing, mobile computing
Mobile computing,Shielded cable,Computer vision,Computer science,Wearable computer,Gesture,Gesture recognition,Electronics,Artificial intelligence,Doppler effect,Microphone
Conference
ISBN
Citations 
PageRank 
978-1-4503-5967-2
1
0.38
References 
Authors
11
2
Name
Order
Citations
PageRank
Hiroki Watanabe12613.47
Tsutomu Terada242988.99