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Gesture Recognition Using Visible Light on Mobile Devices | IEEE Journals & Magazine | IEEE Xplore

Gesture Recognition Using Visible Light on Mobile Devices


Abstract:

In-air gesture control extends a touch screen and enables contactless interaction, thus has become a popular research direction in the past few years. Prior work has impl...Show More

Abstract:

In-air gesture control extends a touch screen and enables contactless interaction, thus has become a popular research direction in the past few years. Prior work has implemented this functionality based on cameras, acoustic signals, and Wi-Fi via existing hardware on commercial devices. However, these methods have low user acceptance. Solutions based on cameras and acoustic signals raise privacy concerns, while WiFi-based solutions are vulnerable to background noise. As a result, these methods are not commercialized and recent flagship smartphones have implemented in-air gesture recognition by adding extra hardware on-board, such as mmWave radar and depth camera. The question is, can we support in-air gesture control on legacy devices without any hardware modifications? To answer this question, in this work, we propose SMART, an in-air gesture recognition system leveraging the screen and ambient light sensor (ALS), which are ordinary modalities on mobile devices. For the transmitter side, we design a screen display mechanism to embed spatial information and preserve the viewing experience; for the receiver side, we develop a framework to recognize gestures from low-quality ALS readings. We implement and evaluate SMART on both a tablet and several smartphones. Results show that SMART can recognize 9 types of frequently used in-air gestures with an average accuracy of 96.1%.
Published in: IEEE/ACM Transactions on Networking ( Volume: 32, Issue: 4, August 2024)
Page(s): 2920 - 2935
Date of Publication: 01 March 2024

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