Consumption Analysis of Smartphone based Fall Detection Systems with Multiple External Wireless Sensors
Consumption Analysis of Smartphone based Fall Detection Systems with Multiple External Wireless Sensors
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DOI：
10.3390/s20030622
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发表时间：
2020-02-01
期刊：
影响因子：
3.9
通讯作者：
Casilari, Eduardo
中科院分区：
文献类型：
--
作者：
Javier Gonzalez-Canete, Francisco;Casilari, Eduardo
基于可穿戴技术的跌倒检测系统近年来得到了广泛的研究。由于智能手机的网络和计算能力，这些广泛使用的个人设备已被提议部署旨在自动跌倒检测的高性价比可穿戴系统。尽管智能手机本身就配备了惯性传感器(加速计和陀螺仪)，但如果基于智能手机的FDS也利用小型低功率无线传感器收集的测量数据，那么它的有效性可以得到提高，这些传感器可以牢固地连接到用户的身体上，而不会造成不适。对于这些具有多个感知点的架构，用户携带的智能手机可以作为FDS架构的核心，通过处理和分析外部传感器测量的数据，并在检测到跌倒时发送相应的警报。在这种情况下，与传感器和远程监控点的无线通信可能会影响智能手机的总体性能，特别是电池寿命。与文献中的大多数工作(忽视在智能手机上实施FDS的真正可行性)不同，本文探索了当前商业智能手机投入使用整合了多个外部传感器的FDS的实际潜力。这项研究分析了可能影响消费的各种操作方面(如使用GPS传感器、与其他应用程序共存、将测量结果重新传输到外部服务器等)。并确定了部署基于智能手机的FDS是可行的实际情况。
Fall Detection Systems (FDSs) based on wearable technologies have gained much research attention in recent years. Due to the networking and computing capabilities of smartphones, these widespread personal devices have been proposed to deploy cost-effective wearable systems intended for automatic fall detection. In spite of the fact that smartphones are natively provided with inertial sensors (accelerometers and gyroscopes), the effectiveness of a smartphone-based FDS can be improved if it also exploits the measurements collected by small low-power wireless sensors, which can be firmly attached to the user's body without causing discomfort. For these architectures with multiple sensing points, the smartphone transported by the user can act as the core of the FDS architecture by processing and analyzing the data measured by the external sensors and transmitting the corresponding alarm whenever a fall is detected. In this context, the wireless communications with the sensors and with the remote monitoring point may impact on the general performance of the smartphone and, in particular, on the battery lifetime. In contrast with most works in the literature (which disregard the real feasibility of implementing an FDS on a smartphone), this paper explores the actual potential of current commercial smartphones to put into operation an FDS that incorporates several external sensors. This study analyzes diverse operational aspects that may influence the consumption (as the use of a GPS sensor, the coexistence with other apps, the retransmission of the measurements to an external server, etc.) and identifies practical scenarios in which the deployment of a smartphone-based FDS is viable.