Recently, as fitness has become a popular part of people’s lives, the intention to record fitness processes and assess the standards of fitness movements has grown increasingly keen. However, the existing approaches have some limitations, for example, wearable devices can hinder users’ fitness activities; computer vision–based solutions pose the risk of privacy breach, and so on. Fortunately, we observed that smartspeaker, acoustic-based sensing is a promising method of activity monitoring. In this article, we propose Afitness, an acoustic-based sensing system that enables non-intrusive, passive, and high-precision fitness detection. Afitness has the following three innovations. (i) We utilize pulse compression to generate high-precision motion distance images on commercial devices that can be visually recognized. (ii) We propose a data augmentation algorithm, which also incorporates transfer learning to greatly reduce the pressure of data collection. (iii) We exploit incremental learning techniques that allow Afitness to improve the portability of our system and recognize new actions. Overall, Afitness achieves acoustic signal interpretability and environmental reliability detection.

Penghao Wang

Ruobing Jiang

Zhongwen Guo

Chao Liu

ACM Transactions on Sensor Networks

ACM TRANSACTIONS ON SENSOR NETWORKS (TOSN) 是 ACM 在传感器网络跨学科领域的核心出版物，涵盖从信号处理、网络和协议、嵌入式系统、信息管理到分布式算法的广泛学科。它涵盖了引入新概念、技术、分析或架构的研究贡献，以及报告新工具和系统开发或具有高影响力、创新应用的经验和实验的应用贡献。这些交易特别关注对传感器网络系统方法的贡献以及基本贡献。

ACM Transactions on Sensor Networks (TOSN) is a key publication by ACM in the interdisciplinary field of sensor networks, covering a wide range of subjects from signal processing, networking and protocols, embedded systems, information management, to distributed algorithms. It accepts research contributions that introduce new concepts, technologies, analyses, or architectures, as well as reports on the development of new tools and systems, or empirical and experimental contributions with high impact and innovative applications. The journal particularly emphasizes contributions to sensor network system methodologies and foundational research.

《ACM Transactions on Sensor Networks》是ACM在传感器网络跨学科领域的重要出版物，涵盖信号处理、网络与协议、嵌入式系统、信息管理以及分布式算法等多个学科。期刊接受关于新概念、技术、分析或架构的研究贡献，以及新工具和系统开发的报告，或具有高影响力和创新应用的经验和实验贡献。特别关注对传感器网络系统方法的贡献及其基本研究。

Afitness: Fitness Monitoring on Smart Devices via Acoustic Motion Images

An acoustic-based sensing system that enables non-intrusive, passive, and high-precision fitness detection, and a data augmentation algorithm, which also incorporates transfer learning to greatly reduce the pressure of data collection is proposed.

Category	Quartile
计算机科学	4
计算机科学, 计算机信息系统	4
计算机科学, 电信学	4

Afitness: Fitness Monitoring on Smart Devices via Acoustic Motion Images

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