WristSense — Wrist-Wear Data for Aggressive-Tendency Research
Catalog Summary
"Wristwatch-derived measurements for researching aggressive tendencies: 40 participants, eight days each within a three-month collection period, with processed and augmented tables."
Catalog Notes
Overview
WristSense was designed to study aggressive tendencies using wrist-worn physiological and activity information. The related paper reports 40 participants wearing a Huawei Fit 2 for eight days each, within an overall three-month collection period. Aggression labels derive from a self-report questionnaire rather than observed violent incidents.
Inspected release 2 tables
extracted_dataset.xlsx contains 318 rows and 73 columns across 40 case identifiers, with 2,750 empty cells. processed_dataset.xlsx contains 318 rows and 25 columns across 40 identifiers, with 200 empty cells. augmented_dataset.xlsx contains 622 rows and 49 columns across 39 identifiers, with 1,560 empty cells; its Source field marks 310 rows real and 312 augmented.
Interpretation
Rows are not independent participants, and augmented rows are not additional human observations. The different representations have different schemas and must not be merged as equivalent records. These research labels do not establish an individual’s propensity for violence or provide a validated clinical assessment.
Source and provenance
Dataset DOI: https://doi.org/10.17632/4cx93gfb8z.2. Related WristSense paper: https://doi.org/10.1007/978-3-031-63211-2_21.
View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on Mendeley Data.
Preview on Mendeley DataCite This Dataset
Almubairik, N., Khan, F. A., & Mohammad, R. (2025). WristSense: A Wrist-wear Dataset for Identifying Aggressive Tendencies (Version 2) [Data set]. Mendeley Data. https://doi.org/10.17632/4cx93gfb8z.2
Source metadata: Mendeley Data (2025) · DOI: 10.17632/4cx93gfb8z.2
Indexed by IoTDataset.com on Sep 14, 2026
Review the Source Record
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