Exploring human activity recognition using feature level fusion of inertial and electromyography data

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Wearables are objective tools for human activity recognition (HAR). Advances in wearables enable synchronized multi-sensing within a single device. This has resulted in studies investigating the use of single or multiple wearable sensor modalities for HAR. Some studies use inertial data, others use surface electromyography (sEMG) from multiple muscles and different post-processing approaches. Yet, questions remain about accuracies relating to e.g., multi-modal approaches, and sEMG post-processing. Here, we explored how inertial and sEMG could be efficiently combined with machine learning and used with post-processing methods for better HAR. This study aims recognition of four basic daily life activities; walking, standing, stair ascent and descent. Firstly, we created a new feature vector based on the domain knowledge gained from previous mobility studies. Then, a feature level data fusion approach was used to combine inertial and sEMG data. Finally, two supervised learning classifiers (Support Vector Machine, SVM, and the k-Nearest Neighbors, kNN) were tested with 5-fold cross-validation. Results show the use of inertial data with sEMG increased overall accuracy by 3.5% (SVM) and 6.3% (kNN). Extracting features from linear envelopes instead of bandpass filtered sEMG improves overall HAR accuracy in both classifiers. Clinical Relevance- Post-processing on sEMG signals can improve the performance of multimodal HAR.

Original languageEnglish
Title of host publication2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1766-1769
Number of pages4
Volume2022
ISBN (Electronic)9781728127828
ISBN (Print)9781728127835
DOIs
Publication statusPublished - 11 Jul 2022
Event44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society - Glasgow, United Kingdom
Duration: 11 Jul 202215 Jul 2022

Conference

Conference44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society
Country/TerritoryUnited Kingdom
CityGlasgow
Period11/07/2215/07/22

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