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Dataset . 2025
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2025
License: CC BY NC
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY NC
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY NC
Data sources: Datacite
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StrengthSense: A Dataset of IMU Signals Capturing Everyday Strength-Demanding Activities

Authors: Yang, Zeyu; Xiao, Yu; Kutkova, Sara; Leite, Clayton;

StrengthSense: A Dataset of IMU Signals Capturing Everyday Strength-Demanding Activities

Abstract

The Description of the StrengthSense Dataset The StrengthSense dataset is designed for detecting daily behaviors and focuses on common activities that involve strength in everyday life. Ten IMU sensors were employed to record IMU9 data. These sensors were strategically placed on the subject's body: one on the chest, one on the waist, two on each upper and lower arm, and two on each thigh and calf. Data was collected from 29 participants aged 18 to 60, covering 13 typical daily activities. These activities include: 1) walking, walking on an incline, walking on a decline2) sit-to-stand from chairs with/out handles3) walking while carrying one/two shopping bags (2 to 5kg/bag)4) mopping floor5) lying on an exercise mattress6) sitting on sofa7) lying on sofa8) greeting (waving hands)9) opening a bottle of water, pouring water to a glass and drinking from the glass10) climbing up/down stairs11) push up12) sit up13) squat The data files are organized by subject (e.g., subject 1, 2, 3, ...). Each subject's folder contains two subfolders, laptop1 and laptop2, which separately store data for the upper body (including the chest and arms) and the lower body (including the waist and legs). Five IMU sensors are used in the recordings in the laptop1 and laptop2 folders respectively. Within each laptop folder, there is a subfolder: IMU9. The IMU9 folder contains data recorded by the IMU sensors in CSV format. The file naming convention follows the format: s##_a##_t##_@##.suffix, where: s## refers to the subject number, a## denotes the activity category, t## indicates the trial number, @ specifies either u or l for upper body or lower body data, ## represents the respective Arabic numeral, and suffix refers to the file extension (.CSV). Access to and use of this dataset is granted for non-commercial research purposes only. Commercial use of the dataset is strictly prohibited. Access to and use of this dataset is permitted only for users who are physically located within the European Union member states.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average