Liu Botong, Wang Duo, Li Sha, Nie Xuhui, Xu Shan, Jiao Bingli, Duan Xiaohui, Huang Anpeng
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:2043-6. doi: 10.1109/EMBC.2015.7318788.
Activity monitor systems are increasing used recently. They are important for athletes and casual users to manage physical activity during daily exercises. In this paper, we use a triaxial accelerometer to design and implement an intelligent belt system, which can detect the user's step and flapping motion. In our system, a wearable intelligent belt is worn on the user's waist to collect activity acceleration signals. We present a step detection algorithm to detect real-time human step, which has high accuracy and low complexity. In our system, an Android App is developed to manage the intelligent belt. We also propose a protocol, which can guarantee data transmission between smartphones and wearable belt effectively and efficiently. In addition, when users flap the belt in emergency, the smartphone will receive alarm signal sending by the belt, and then notifies the emergency contact person, which can be really helpful for users in danger. Our experiment results show our system can detect physical activities with high accuracy (overall accuracy of our algorithm is above 95%) and has an effective alarm subsystem, which is significant for the practical use.
活动监测系统近来的使用越来越多。它们对于运动员和普通用户在日常锻炼中管理身体活动很重要。在本文中，我们使用三轴加速度计来设计并实现一个智能腰带系统，该系统能够检测用户的步数和摆动动作。在我们的系统中，一条可穿戴智能腰带佩戴在用户腰部以收集活动加速度信号。我们提出一种步数检测算法来实时检测人体步数，该算法具有高精度和低复杂度。在我们的系统中，开发了一个安卓应用程序来管理智能腰带。我们还提出一种协议，它能够有效且高效地保证智能手机与可穿戴腰带之间的数据传输。此外，当用户在紧急情况下摆动腰带时，智能手机将接收到腰带发送的警报信号，然后通知紧急联系人，这对处于危险中的用户非常有帮助。我们的实验结果表明我们的系统能够高精度地检测身体活动（我们算法的总体准确率高于95%）并且有一个有效的警报子系统，这对于实际应用具有重要意义。
