A Wearable Hand Gesture Recognition Device Based On Acoustic Measurements At Wrist

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review

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Detail(s)

Original languageEnglish
Title of host publicationProceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4443-4446
ISBN (Print)9781509028092
Publication statusPublished - Jul 2017

Publication series

Name
ISSN (Print)1557-170X

Conference

Title39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017
LocationInternational Convention Center
PlaceKorea, Republic of
CityJeju Island
Period11 - 15 July 2017

Abstract

This paper investigates hand gesture recognition from acoustic measurements at wrist for the development of a low-cost wearable human-computer interaction (HCI) device. A prototype with 5 microphone sensors on human wrist is benchmarked in hand gesture recognition performance by identifying 36 gestures in American Sign Language (ASL). Three subjects were recruited to perform over 20 trials for each set of hand gestures, including 26 ASL alphabets and 10 ASL numbers. Ten features were extracted from the signal recorded by each sensor. Support Vector Machine (SVM), Decision Tree (DT), K-Nearest Neighbors (kNN), and Linear Discriminant Analysis (LDA) were compared in classification performance. Among which, LDA offered the highest average classification accuracy above 80%. Based on these preliminary results, our proposed technique has exhibited a promising means for developing a low-cost HCI.

Citation Format(s)

A Wearable Hand Gesture Recognition Device Based On Acoustic Measurements At Wrist. / Siddiqui, Nabeel; Chan, Rosa H. M.

Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS). Institute of Electrical and Electronics Engineers Inc., 2017. p. 4443-4446 8037842.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review