Instrumentation and Applied Acoustics Research Group (I2A2), ETSI Industriales, Universidad Politécnica de Madrid, Campus Sur UPM, Ctra. Valencia, Km 7., 28031 Madrid, Spain.
ALGORITMI Research Center, School of Engineering, University of Minho, 4800-058 Guimaraes, Portugal.
Sensors (Basel). 2018 Nov 6;18(11):3805. doi: 10.3390/s18113805.
Wearable technology has had a significant growth in the last years; this is particularly true of smartwatches, due to their potential advantages and ease of use. These smart devices integrate sensors that can be potentially used within industrial settings and for several applications, such as safety, monitoring, and the identification of occupational risks. The accelerometer is one of the main sensors integrated into these devices. However, several studies have identified that sensors integrated into smart devices may present inaccuracies during data acquisition, which may influence the performance of their potential applications. This article presents an analysis from the metrological point of view to characterize the amplitude and frequency response of the integrated accelerometers in three currently available commercial smartwatches, and it also includes an analysis of the uncertainties associated with these measurements by adapting the procedures described in several International Organization for Standardization (ISO) standards. The results show that despite the technical limitations produced by the factory configuration, these devices can be used in various applications related to occupational risk assessment. Opportunities for improvement have also been identified, which will allow us to take advantage of this technology in several innovative applications within industrial settings and, in particular, for occupational health purposes.
可穿戴技术在过去几年中得到了迅猛发展；智能手表更是如此，因为它们具有潜在的优势和易用性。这些智能设备集成了传感器，这些传感器可能在工业环境中用于多种应用，如安全、监测和职业风险识别。加速度计是集成到这些设备中的主要传感器之一。然而，有几项研究已经指出，集成到智能设备中的传感器在数据采集过程中可能会出现不准确的情况，这可能会影响它们在潜在应用中的性能。本文从计量学的角度对当前市面上的三款商业智能手表中集成的加速度计的幅度和频率响应进行了分析，还通过采用国际标准化组织（ISO）标准中描述的程序对这些测量的不确定度进行了分析。结果表明，尽管受到工厂配置产生的技术限制，但这些设备仍可用于与职业风险评估相关的各种应用。同时，还确定了改进的机会，这将使我们能够在工业环境中的多个创新应用中利用这项技术，特别是在职业健康方面。
