Resources


Database Open Access

A multimodal gait dataset of brain activity, muscle activity, kinematics and ground forces in young adults

Rateb Katmah, Aamna AlShehhi, Doua Kosaji, et al.

Dataset of gait recordings from 59 healthy adults, combining brain activity, muscle activity, body kinematics, and ground forces during treadmill walking at three different speeds.

electroencephalography biomechanics neuroscience gait analysis force plate kinematics inertial measurement unit electromyography

Published: April 30, 2026. Version: 1.0.0

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Database Open Access

GRABMyoFlow - Dataset extension

Carl Linus Ehlert, James Tung, Ashirbad Pradhan

GRABMyoFlow extends the GRABMyo sEMG dataset with dynamic transitions and 20 new subjects (63 total). Features multi-day wrist recordings for robust hand gesture recognition and biometrics research.

Published: April 16, 2026. Version: 1.0.0

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Database Open Access

PSG-IPA: A PolySomnoGraphic Inter-scorer Performance Assessment database

Diego Alvarez-Estevez

The HMC-IPA dataset comprises 20 PSG recordings, each with manual and computer-assisted scorings by 12 sleep technologists, for studying inter-scorer variability and evaluating automated sleep analysis algorithms

Published: Jan. 8, 2026. Version: 1.0.0

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Database Restricted Access

A database of hand kinematics, high-density sEMG of forearm and wrist for motion intent recognition

Zeming Zhao, Weichao Guo, Zeyu Zhou

A database of hand kinematics, high-density sEMG of forearm and wrist.

Published: Jan. 17, 2025. Version: 1.0.0

Database Open Access

ScientISST MOVE: Annotated Wearable Multimodal Biosignals recorded during Everyday Life Activities in Naturalistic Environments

João Areias Saraiva, Mariana Abreu, Ana Sofia Carmo, et al.

Multimodal (ECG, EMG, EDA, PPG, TEMP, ACC) biosignal dataset of everyday activities. Created with 3 wearable devices based on ScientISST Sense and Empatica E4.

greet lift uncontrolled environments run jump gesticulate walk multimodal wearable

Published: March 25, 2024. Version: 1.0.1

Database Open Access

Tai Chi, Physiological Complexity, and Healthy Aging - Gait

Peter Wayne, Brian Gow, Jeffrey Hausdorff, et al.

This project includes gait data collected with footswitches and electromyography data from subjects who walked for 10 minutes under normal conditions and for 90 seconds under dual-task conditions (walking while performing serial subtractions).

dual-task stability gait electromyography

Published: Dec. 14, 2021. Version: 1.0.2

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