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Related Experiment Video

Updated: Aug 16, 2025

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

Improving Inertial Sensor-Based Activity Recognition in Neurological Populations.

Yunus Celik¹, M Fatih Aslan², Kadir Sabanci²

¹Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, UK.

Sensors (Basel, Switzerland)

|December 23, 2022

Summary

This summary is machine-generated.

This study introduces a new framework using image conversion and data augmentation for human activity recognition (HAR) in neurological populations. The method significantly improves HAR accuracy with limited datasets, aiding healthcare applications.

Failed At:

2026-06-19T13:39:53.515933+00:00

Keywords:

convolutional neural networks data augmentation human activity recognition inertial measurement units

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