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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 32

Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition

March 15, 2023

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Published Date: 2018-02-08

Registration: ISSN 2374-3468 (Online) ISSN 2159-5399 (Print)

Copyright: Published by AAAI Press, Palo Alto, California USA Copyright © 2018, Association for the Advancement of Artificial Intelligence All Rights Reserved.

Authors

Weihao Cheng

The University of Melbourne


Sarah Erfani

The University of Melbourne


Rui Zhang

The University of Melbourne


Ramamohanarao Kotagiri

The University of Melbourne


DOI:

10.1609/aaai.v32i1.11862


Abstract:

Continuous Human Activity Recognition (HAR) is an important application of smart mobile/wearable systems for providing dynamic assistance to users. However, HAR in real-time requires continuous sampling of data using built-in sensors (e.g., accelerometer), which significantly increases the energy cost and shortens the operating span. Reducing sampling rate can save energy but causes low recognition accuracy. Therefore, choosing adaptive sampling frequency that balances accuracy and energy efficiency becomes a critical problem in HAR. In this paper, we formalize the problem as minimizing both classification error and energy cost by choosing dynamically appropriate sampling rates. We propose Datum-Wise Frequency Selection (DWFS) to solve the problem via a continuous state Markov Decision Process (MDP). A policy function is learned from the MDP, which selects the best frequency for sampling an incoming data entity by exploiting a datum related state of the system. We propose a method for alternative learning the parameters of an activity classification model and the MDP that improves both the accuracy and the energy efficiency. We evaluate DWFS with three real-world HAR datasets, and the results show that DWFS statistically outperforms the state-of-the-arts regarding a combined measurement of accuracy and energy efficiency.

Topics: AAAI

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HOW TO CITE:

Weihao Cheng||Sarah Erfani||Rui Zhang||Ramamohanarao Kotagiri Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition Proceedings of the AAAI Conference on Artificial Intelligence, 32 (2018) .

Weihao Cheng||Sarah Erfani||Rui Zhang||Ramamohanarao Kotagiri Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition AAAI 2018, .

Weihao Cheng||Sarah Erfani||Rui Zhang||Ramamohanarao Kotagiri (2018). Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition. Proceedings of the AAAI Conference on Artificial Intelligence, 32, .

Weihao Cheng||Sarah Erfani||Rui Zhang||Ramamohanarao Kotagiri. Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition. Proceedings of the AAAI Conference on Artificial Intelligence, 32 2018 p..

Weihao Cheng||Sarah Erfani||Rui Zhang||Ramamohanarao Kotagiri. 2018. Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition. "Proceedings of the AAAI Conference on Artificial Intelligence, 32". .

Weihao Cheng||Sarah Erfani||Rui Zhang||Ramamohanarao Kotagiri. (2018) "Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition", Proceedings of the AAAI Conference on Artificial Intelligence, 32, p.

Weihao Cheng||Sarah Erfani||Rui Zhang||Ramamohanarao Kotagiri, "Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition", AAAI, p., 2018.

Weihao Cheng||Sarah Erfani||Rui Zhang||Ramamohanarao Kotagiri. "Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition". Proceedings of the AAAI Conference on Artificial Intelligence, 32, 2018, p..

Weihao Cheng||Sarah Erfani||Rui Zhang||Ramamohanarao Kotagiri. "Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition". Proceedings of the AAAI Conference on Artificial Intelligence, 32, (2018): .

Weihao Cheng||Sarah Erfani||Rui Zhang||Ramamohanarao Kotagiri. Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition. AAAI[Internet]. 2018[cited 2023]; .


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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