Energy-aware human activity recognition for wearable devices: A comprehensive review

被引:0
作者
Contoli, Chiara [1 ]
Freschi, Valerio [1 ]
Lattanzi, Emanuele [1 ]
机构
[1] Univ Urbino, Dept Pure & Appl Sci, Piazza Repubbl 13, I-61029 Urbino, Italy
关键词
Human activity recognition; Wearable devices; Resource-constrained devices; Energy-efficiency; Energy-aware human activity recognition; Review; DEEP; NETWORK; CLASSIFICATION; FEATURES; SENSORS; SYSTEMS; MOBILE;
D O I
10.1016/j.pmcj.2024.101976
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the rapid advancement of wearable devices, sensor-based human activity recognition has emerged as a fundamental research area with broad applications in various domains. While significant progress has been made in this research field, energy consumption remains a critical aspect that deserves special attention. Recognizing human activities while optimizing energy consumption is essential for prolonging device battery life, reducing charging frequency, and ensuring uninterrupted monitoring and functionality. The primary objective of this survey paper is to provide a comprehensive review of energyaware wearable human activity recognition techniques based on wearable sensors without considering vision-based systems. In particular, it aims to explore the state-of-the-art approaches and methodologies that integrate activity recognition with energy management strategies. Finally, by surveying the existing literature, this paper aims to shed light on the challenges, opportunities and potential solutions for energy-aware human activity recognition.
引用
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页数:23
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