In this paper, we present a technique to recognize the position of sensors on the human body. Automatic on-body device localization ensures correctness and accuracy of measurements in health and medical monitoring systems. In addition, it provides opportunities to improve the performance and usability of ubiquitous devices. Our technique uses accelerometers to capture motion data to estimate the location of the device on the user’s body, using mixed supervised and unsupervised time series analysis methods. We have evaluated our technique with extensive experiments on 25 subjects. On average, our technique achieves 89% accuracy in estimating the location of devices on the body. In order to study the feasibility of classification of left limbs from right limbs (e.g., left arm vs. right arm), we performed an analysis, based on which no meaningful classification was observed. Personalized ultraviolet monitoring and wireless transmission power control comprise two immediate applications of our on-body device localization approach. Such applications, along with their corresponding feasibility studies, are discussed.

在本文中，我们提出了一种识别传感器在人体上的位置的技术。自动在体设备定位可确保健康和医疗监测系统中测量的正确性和准确性。此外，它还为提高无处不在设备的性能和可用性提供了机会。我们的技术使用加速度计来捕获运动数据，以使用混合监督和无监督时间序列分析方法来估计设备在用户身体上的位置。我们通过对 25 个受试者的广泛实验评估了我们的技术。平均而言，我们的技术在估计设备在身体上的位置时达到了 89% 的准确率。为了研究从右肢（例如左臂与右臂）分类左肢的可行性，我们进行了分析，在此基础上没有观察到有意义的分类。个性化紫外线监测和无线传输功率控制构成了我们在体设备定位方法的两个直接应用。讨论了此类应​​用及其相应的可行性研究。