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Mining human activity and smartphone position from motion sensors

Published: 16 March 2019 Publication History

Abstract

The wide use of motion sensors in today's smartphones has enabled a range of innovative applications which these sensors are not originally designed for. Human activity recognition and smartphone position detection are two of them. In this paper, we present a system for the joint recognition of human activity and smartphone position. Our study shows that the coordinate transformation approach applied to motion data makes our system robust to smartphone orientation variation. Contrary to popular belief, the simple neural network does provide the accuracy comparable to the deep learning models in our problem. In addition, it suggests that the motion sensor sampling rate is another key factor to the recognition problem.

Reference

[1]
B. Shin, C. Kim, J. Kim, S. Lee, C. Kee, H. S. Kim, and T. Lee. 2016. Motion Recognition-Based 3D Pedestrian Navigation System Using Smartphone. IEEE Sensors Journal 16, 18 (Sept 2016), 6977--6989.

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  • (2025)Position-Agnostic Smartphone Placement Detection for Improved Reliability in Human Activity RecognitionIntelligenza Artificiale: The international journal of the AIxIA10.1177/17248035241312104Online publication date: 4-Feb-2025

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  1. Mining human activity and smartphone position from motion sensors

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    cover image ACM Conferences
    IUI '19 Companion: Companion Proceedings of the 24th International Conference on Intelligent User Interfaces
    March 2019
    173 pages
    ISBN:9781450366731
    DOI:10.1145/3308557
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 16 March 2019

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    Author Tags

    1. human activity recognition
    2. smartphone position detection

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    View all
    • (2025)Position-Agnostic Smartphone Placement Detection for Improved Reliability in Human Activity RecognitionIntelligenza Artificiale: The international journal of the AIxIA10.1177/17248035241312104Online publication date: 4-Feb-2025

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