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

• Published in: Scientific data 2023-10, Vol.10 (1), p.709-709, Article 709
• Main Authors: Jayasinghe, Udeni, Hwang, Faustina, Harwin, William S.
• Format: Article
• Language: English
• Subjects: 639/166/985; 692/700/784; Ankle; Data Descriptor; Datasets; Embedding; Humanities and Social Sciences; multidisciplinary; Science; Science (multidisciplinary); Sensors
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/s41597-023-02567-4

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.