School of Allied Health, Curtin University, Perth, WA 6102, Australia.
ARC Centre of Excellence for the Digital Child, Brisbane, ACT 2609, Australia.
Sensors (Basel). 2024 Oct 18;24(20):6705. doi: 10.3390/s24206705.
ActiMotus, a thigh-accelerometer-based software used for the classification of postures and movements (PaMs), has shown high accuracy among adults and school-aged children; however, its accuracy among younger children and potential differences between sexes are unknown. This study aimed to evaluate the accuracy of ActiMotus to measure PaMs among children between 3 and 14 years and to assess if this was influenced by the sex or age of children.
Forty-eight children attended a structured ~1-hour data collection session at a laboratory. Thigh acceleration was measured using a SENS accelerometer, which was classified into nine PaMs using the ActiMotus software. Human-coded video recordings of the session provided the ground truth.
Based on both F1 scores and balanced accuracy, the highest levels of accuracy were found for lying, sitting, and standing (63.2-88.2%). For walking and running, accuracy measures ranged from 48.0 to 85.8%. The lowest accuracy was observed for classifying stair climbing. We found a higher accuracy for stair climbing among girls compared to boys and for older compared to younger age groups for walking, running, and stair climbing.
ActiMotus could accurately detect lying, sitting, and standing among children. The software could be improved for classifying walking, running, and stair climbing, particularly among younger children.
ActiMotus 是一款基于大腿加速计的软件，用于对姿势和动作（PaMs）进行分类，在成年人和学龄儿童中已显示出较高的准确性；然而，其在幼儿中的准确性以及性别差异尚不清楚。本研究旨在评估 ActiMotus 测量 3 至 14 岁儿童 PaMs 的准确性，并评估其是否受到儿童性别或年龄的影响。
48 名儿童在实验室参加了一个约 1 小时的结构化数据采集会议。使用 SENS 加速计测量大腿加速度，使用 ActiMotus 软件将其分类为九种 PaMs。会议的人工编码视频记录提供了真实数据。
基于 F1 评分和平衡准确性，发现躺着、坐着和站立的准确性最高（63.2-88.2%）。对于行走和跑步，准确性测量范围为 48.0 到 85.8%。分类爬楼梯的准确性最低。我们发现女孩在爬楼梯方面的准确性高于男孩，而在行走、跑步和爬楼梯方面，年龄较大的儿童的准确性高于年龄较小的儿童。
ActiMotus 可以准确地检测儿童的躺着、坐着和站立姿势。该软件可以针对行走、跑步和爬楼梯进行改进，特别是针对年龄较小的儿童。
