26th International Conference on Intelligent User Interfaces 2021
DOI: 10.1145/3397481.3450665
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Designing a Sensor Glove Using Deep Learning

Abstract: When designing a smart glove for gesture recognition, the set of sensors available and their layout on the glove are crucial. However, once a computational model reaches acceptable recognition accuracy, it is often not clear which sensors are more important for the task. Nor whether some sensors can be strategically removed while retaining similar performance in order to save cost. Furthermore, when aiming for a personalized setup, there can be minor deviation in how gestures are performed by each participant,… Show more

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Cited by 5 publications
(2 citation statements)
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“…Most of all, conventional flex sensors can measure one axis of bending. Thus, multiple sensors must be used to measure complex movements [13].…”
Section: Basics Of Flex Sensorsmentioning
confidence: 99%
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“…Most of all, conventional flex sensors can measure one axis of bending. Thus, multiple sensors must be used to measure complex movements [13].…”
Section: Basics Of Flex Sensorsmentioning
confidence: 99%
“…An alternative method of implementing gesture recognition is to use wearable sensors such as inertial measurement units (IMU), electromyography (EMG) sensors, flex sensors, and pressure sensors [3,8,[10][11][12][13]. Unlike vision-based approaches, a wearable sensorbased approach is not only less sensitive to the perceived environments but also generates relatively small amounts of data with affordable (or even higher) recognition accuracy.…”
Section: Introductionmentioning
confidence: 99%