BackTapBench Standardized Dataset

Harvard Dataverse 2026 Dataset Open access

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Authors: Jumaana Aslam
DOI: 10.7910/dvn/7hltdi
Cited by: 0

Abstract

BackTapBench is a standardized dataset of back‑of‑device tap interactions captured using a Samsung Galaxy Note 8 running Android 9. Five participants performed controlled taps on a 3×3 grid while seated, using their right hand and index finger. The dataset includes synchronized accelerometer, gyroscope, and high‑frequency accelerometer signals segmented around each tap. It is designed for benchmarking tap‑recognition algorithms, sensor‑fusion methods, and mobile interaction research.

Fields of Study & Subjects

Interactive and Immersive Displays Hand Gesture Recognition Systems Context-Aware Activity Recognition Systems

Publication details

Journal / source
Harvard Dataverse
Publication date
15 February 2026
Language
EN
Document type
Dataset