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

IF 3 3区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Pervasive and Mobile Computing Pub Date : 2024-09-02 DOI:10.1016/j.pmcj.2024.101976

Chiara Contoli, Valerio Freschi, Emanuele Lattanzi

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引用次数: 0

Abstract

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 energy-aware 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.

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可穿戴设备的能量感知人类活动识别：综合评述

随着可穿戴设备的快速发展，基于传感器的人类活动识别已成为一个基础研究领域，在各个领域都有广泛的应用。虽然这一研究领域已经取得了重大进展，但能耗仍然是一个值得特别关注的关键问题。在识别人类活动的同时优化能耗，对于延长设备电池寿命、降低充电频率、确保不间断监控和功能性至关重要。本调查论文的主要目的是全面综述基于可穿戴传感器的能量感知可穿戴人类活动识别技术，而不考虑基于视觉的系统。本文的主要目的是对基于可穿戴传感器的能量感知可穿戴人体活动识别技术进行全面综述，而不考虑基于视觉的系统。本文尤其旨在探讨将活动识别与能量管理策略相结合的最新方法和手段。最后，通过对现有文献的调查，本文旨在阐明能量感知人类活动识别的挑战、机遇和潜在解决方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Pervasive and Mobile Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS

CiteScore

7.70

自引率

2.30%

发文量

审稿时长

68 days

期刊介绍： As envisioned by Mark Weiser as early as 1991, pervasive computing systems and services have truly become integral parts of our daily lives. Tremendous developments in a multitude of technologies ranging from personalized and embedded smart devices (e.g., smartphones, sensors, wearables, IoTs, etc.) to ubiquitous connectivity, via a variety of wireless mobile communications and cognitive networking infrastructures, to advanced computing techniques (including edge, fog and cloud) and user-friendly middleware services and platforms have significantly contributed to the unprecedented advances in pervasive and mobile computing. Cutting-edge applications and paradigms have evolved, such as cyber-physical systems and smart environments (e.g., smart city, smart energy, smart transportation, smart healthcare, etc.) that also involve human in the loop through social interactions and participatory and/or mobile crowd sensing, for example. The goal of pervasive computing systems is to improve human experience and quality of life, without explicit awareness of the underlying communications and computing technologies. The Pervasive and Mobile Computing Journal (PMC) is a high-impact, peer-reviewed technical journal that publishes high-quality scientific articles spanning theory and practice, and covering all aspects of pervasive and mobile computing and systems.