Augmenting Ear Accessories for Facial Gesture Input Using Infrared Distance Sensor Array

Author:

Futami KyosukeORCID,Oyama Kohei,Murao KazuyaORCID

Abstract

Simple hands-free input methods using ear accessories have been proposed to broaden the range of scenarios in which information devices can be operated without hands. Although many previous studies use canal-type earphones, few studies focused on the following two points: (1) A method applicable to ear accessories other than canal-type earphones. (2) A method enabling various ear accessories with different styles to have the same hands-free input function. To realize these two points, this study proposes a method to recognize the user’s facial gesture using an infrared distance sensor attached to the ear accessory. The proposed method detects skin movement around the ear and face, which differs for each facial expression gesture. We created a prototype system for three ear accessories for the root of the ear, earlobe, and tragus. The evaluation results for nine gestures and 10 subjects showed that the F-value of each device was 0.95 or more, and the F-value of the pattern combining multiple devices was 0.99 or more, which showed the feasibility of the proposed method. Although many ear accessories could not interact with information devices, our findings enable various ear accessories with different styles to have eye-free and hands-free input ability based on facial gestures.

Funder

Japan Society for the Promotion of Science

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Cited by 8 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. EyeGesener: Eye Gesture Listener for Smart Glasses Interaction Using Acoustic Sensing;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-08-22

2. GazePuffer: Hands-Free Input Method Leveraging Puff Cheeks for VR;2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR);2024-03-16

3. Machine Learning Method-Based Static Infrared Gesture Recognition System;IEEE Sensors Letters;2023-12

4. Mechanoreceptor-inspired in-ear triboelectric sensor for unconstrained physiological monitoring and human–machine interaction;Nano Energy;2023-12

5. TouchLog: Finger Micro Gesture Recognition Using Photo-Reflective Sensors;Proceedings of the 2023 International Symposium on Wearable Computers;2023-10-08

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