A Feasibility Study of the Use of Smartwatches in Wearable Fall Detection Systems.

A Feasibility Study of the Use of Smartwatches in Wearable Fall Detection Systems.
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智能手表在可穿戴跌倒检测系统中的应用可行性研究。

DOI:
10.3390/s21062254
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发表时间:
2021-03-23
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
通讯作者:
Casilari E
Casilari E
中科院分区:
其他
文献类型:
--
作者:
González-Cañete FJ;Casilari E

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在过去的几年里,智能手表在自动跌倒检测系统(FDS)中的使用引起了人们对老年人新型可穿戴远程监护系统研究的极大兴趣。与解决跌倒检测问题的其他方法相比,基于智能手表的FDS可以受益于这些设备提供的广泛接受、人体工程学、低成本、网络接口和传感器。然而,科学文献已经表明,由于手臂的运动自由度,手腕通常不是明确地表征福尔斯期间人体的动力学的最适当的位置,因为涉及手的剧烈运动的许多常规日常生活活动可能容易被误解为福尔斯。还如文献所述,需要传感器融合和多点测量来定义用于可穿戴FDS的鲁棒且可靠的方法。因此,为了避免错误警报,可能有必要联合收割机由智能手表捕获的信号的分析与由放置在更靠近身体重心的点处的一些其他低功率传感器(例如,在腰部)。在这种体域网(BAN)架构下,这些外部传感节点必须无线连接到智能手表以传输其测量结果。尽管如此,这种网络解决方案的部署,其中智能手表负责处理感测到的数据并在检测到跌倒的情况下生成警报,可能会严重影响可穿戴设备的性能。与许多其他作品(往往忽略了真实的跌倒检测器的操作方面)不同,本文分析了在目前的商业智能手表上实施用于跌倒检测的BAN的实际可行性。特别是,这项研究的重点是评估电池寿命的减少可能会导致手表作为BAN的核心。为此,我们彻底评估的能量消耗的FDS的原型组成的智能手表和几个外部蓝牙功能的传感单元。为了确定从实际角度来看智能手表的使用可行的场景,测试台使用不同的商业设备进行了研究,并在可能显著影响电池寿命的元素的不同配置下进行了研究。
Over the last few years, the use of smartwatches in automatic Fall Detection Systems (FDSs) has aroused great interest in the research of new wearable telemonitoring systems for the elderly. In contrast with other approaches to the problem of fall detection, smartwatch-based FDSs can benefit from the widespread acceptance, ergonomics, low cost, networking interfaces, and sensors that these devices provide. However, the scientific literature has shown that, due to the freedom of movement of the arms, the wrist is usually not the most appropriate position to unambiguously characterize the dynamics of the human body during falls, as many conventional activities of daily living that involve a vigorous motion of the hands may be easily misinterpreted as falls. As also stated by the literature, sensor-fusion and multi-point measurements are required to define a robust and reliable method for a wearable FDS. Thus, to avoid false alarms, it may be necessary to combine the analysis of the signals captured by the smartwatch with those collected by some other low-power sensor placed at a point closer to the body’s center of gravity (e.g., on the waist). Under this architecture of Body Area Network (BAN), these external sensing nodes must be wirelessly connected to the smartwatch to transmit their measurements. Nonetheless, the deployment of this networking solution, in which the smartwatch is in charge of processing the sensed data and generating the alarm in case of detecting a fall, may severely impact on the performance of the wearable. Unlike many other works (which often neglect the operational aspects of real fall detectors), this paper analyzes the actual feasibility of putting into effect a BAN intended for fall detection on present commercial smartwatches. In particular, the study is focused on evaluating the reduction of the battery life may cause in the watch that works as the core of the BAN. To this end, we thoroughly assess the energy drain in a prototype of an FDS consisting of a smartwatch and several external Bluetooth-enabled sensing units. In order to identify those scenarios in which the use of the smartwatch could be viable from a practical point of view, the testbed is studied with diverse commercial devices and under different configurations of those elements that may significantly hamper the battery lifetime.
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