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FinDroidHR: Smartwatch gesture input with optical heartrate monitor

journal contribution
posted on 2024-11-02, 07:45 authored by Yu Zhang, Tao Gu, Chu Luo, Vassilis Kostakos, Aruna Seneviratne
We present FinDroidHR, a novel gesture input technique for off-the-shelf smartwatches. Our technique is designed to detect 10 hand gestures on the hand wearing a smartwatch. The technique is enabled by analysing features of the Photoplethysmography (PPG) signal that optical heart-rate sensors capture. In a study with 20 participants, we show that FinDroidHR achieves 90.55% accuracy and 90.73% recall. Our work is the first study to explore the feasibility of using optical sensors on the off-the-shelf wearable devices to recognise gestures. Without requiring bespoke hardware, FinDroidHR can be readily used on existing smartwatches.

Funding

Non-intrusive human activity sensing with radio signals

Australian Research Council

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History

Related Materials

  1. 1.
    DOI - Is published in 10.1145/3191788
  2. 2.
    ISSN - Is published in 24749567

Journal

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Volume

2

Number

56

Issue

1

Start page

1

End page

12

Total pages

12

Publisher

International Association of Online Engineering

Place published

Austria

Language

English

Copyright

© 2018 Copyright held by the owner/author(s). Publication rights licensed to the Association for Computing Machinery

Former Identifier

2006083935

Esploro creation date

2020-06-22

Fedora creation date

2018-09-20

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