Smatable Vibration Gesture Dataset (4-Channel, 44.1 kHz, Swipe UDLR)

Name: Smatable Vibration Gesture Dataset (4-Channel, 44.1 kHz, Swipe UDLR)
Keywords: vibration sensing, gesture recognition, accelerometer, machine learning

Nara Institute of Science and Technology; Yoshida, Makoto; Matsui, Tomokazu; Suwa, Hirohiko; Yasumoto, Keiichi

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Dataset . 2025

License: https://opensource.org/licenses/MIT

Data sources: Datacite

ZENODO

Dataset . 2025

License: https://opensource.org/licenses/MIT

Data sources: Datacite

Smatable Vibration Gesture Dataset (4-Channel, 44.1 kHz, Swipe UDLR)

Research datakeyboard_double_arrow_right Dataset 20 Oct 2025 English Publisher:Zenodo

Authors: Nara Institute of Science and Technology; Yoshida, Makoto; Matsui, Tomokazu; Suwa, Hirohiko; Yasumoto, Keiichi;

doi: 10.5281/zenodo.17275490 , 10.5281/zenodo.17275491

Smatable Vibration Gesture Dataset (4-Channel, 44.1 kHz, Swipe UDLR)

- Summary
- Subjects
- Metrics

Abstract

This dataset provides 4-channel table-vibration recordings (44.1 kHz, 16-bit PCM) for swipe-direction gesture recognition (Up/Down/Left/Right). Signals were captured using four synchronized piezoelectric sensors attached under tabletops in two scenarios: (i) DataByPerson (three participants on the same table), and (ii) DataByTable (one participant across three tables). Each target has ten sessions; each session contains 4 classes × 10 trials = 40 samples. The archive includes raw WAV files. See README for protocol and recommended evaluations.

Related Organizations

Nara Institute of Science and Technology
Japan

Keywords

vibration sensing, gesture recognition, accelerometer, machine learning

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