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日常活动中穿在下半身的宽松衣物产生的惯性测量数据。

Inertial measurement data from loose clothing worn on the lower body during everyday activities.

机构信息

Biomedical Engineering Section, University of Reading, RG6 6DH, Reading, UK.

出版信息

Sci Data. 2023 Oct 17;10(1):709. doi: 10.1038/s41597-023-02567-4.

Abstract

Embedding sensors into clothing is promising as a way for people to wear multiple sensors easily, for applications such as long-term activity monitoring. To our knowledge, this is the first published dataset collected from sensors in loose clothing. 6 Inertial Measurement Units (IMUs) were configured as a 'sensor string' and attached to casual trousers such that there were three sensors on each leg near the waist, thigh, and ankle/lower-shank. Participants also wore an Actigraph accelerometer on their dominant wrist. The dataset consists of 15 participant-days worth of data collected from 5 healthy adults (age range: 28-48 years, 3 males and 2 females). Each participant wore the clothes with sensors for between 1 and 4 days for 5-8 hours per day. Each day, data were collected while participants completed a fixed circuit of activities (with a video ground truth) as well as during free day-to-day activities (with a diary). This dataset can be used to analyse human movements, transitional movements, and postural changes based on a range of features.

摘要

将传感器嵌入衣物中是一种很有前途的方法,可以让人们轻松地佩戴多个传感器,适用于长期活动监测等应用。据我们所知,这是第一个从宽松衣物中的传感器收集的公开数据集。6 个惯性测量单元(IMU)被配置为一个“传感器串”,并附着在休闲裤上,使得每条腿在腰部、大腿和脚踝/小腿附近都有三个传感器。参与者还在优势手腕上佩戴了一个 Actigraph 加速度计。该数据集包含来自 5 名健康成年人(年龄范围:28-48 岁,3 名男性和 2 名女性)的 15 天数据。每位参与者穿着带有传感器的衣服,每天佩戴 1 到 4 天,每天佩戴 5-8 小时。每天,参与者在完成一系列固定活动(有视频地面实况)以及日常自由活动(有日记)时,都会收集数据。该数据集可用于基于多种特征分析人体运动、过渡运动和姿势变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c275/10582085/2c47e94a5042/41597_2023_2567_Fig1_HTML.jpg

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