WHAMAP: A Multimodal Wearable Inertial Sensor Dataset for Human Activity Recognition and Lower-Limb Movement Analysis with Borg-Derived Perceived-Exertion Annotations

Description

WHAMAP dataset contains inertial data collected from five IMU sensors positioned on the lower limbs (thighs, shanks, and right feet), along with data from smartphone sensors, from a group of 10 participants performing five activities: sitting, standing, walking, uphill walking, and squatting. In addition, the walking, uphill walking, and squatting activities include fatigue variations, annotated according to the Borg Rating of Perceived Exertion scale.

Steps to reproduce

The WHAMAP dataset was collected using a Flutter-based mobile application that synchronizes, via Bluetooth Low Energy (BLE), data from five WT9011DCL-BT50 inertial sensors positioned on the lower limbs (thighs, shanks, and right foot) with data from the smartphone’s built-in sensors. All sensor data were synchronized at 50 Hz and exported in CSV format. Ten participants (subject01–subject10) performed five activities: sitting, standing, walking, uphill walking, and squatting. The walking, uphill walking, and squatting activities also included controlled variations in fatigue, annotated according to the Borg Rating of Perceived Exertion scale (levels 0–4).

Institutions

• Universidade Federal de Ouro Preto

  Minas Gerais, Ouro Preto

Categories

Funders

• Coordenação de Aperfeicoamento de Pessoal de Nível Superior

  Ministry of Education

  Federal District, Brasília

Licence