A combination of feature extraction and feedforward neural network to estimate muscle activity in human gait

Min Khant, Darwin Gouwanda, Alpha A. Gopalai, King Hann Lim, Chee Choong Foong

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


Inertial Measurement Unit (IMU) has been widely recognized to be the practical alternative to capture and analyze human gait. However, due to its inherent characteristics, it can only measure the basic kinematics of the body segment it attached to. With the help of the machine learning, IMU can be used to determine the dynamic behavior of the major lower extremity muscle. This paper explores the use of feature-extracted IMU data and a neural network to estimate muscle activity during walking. IMU and Electromyogram (EMG) data were collected from fifty-eight healthy participants. Principal Component Analysis (PCA) and Tsfresh (Time Series FeatuRe Extraction on basis of Scalable Hypothesis tests) were applied to extract the relevant features from the data. These features were then used to train the Feedforward Neural Network (FNN). A combination of Tsfresh and FNN yielded the best results with correlation coefficient (r) of 95.73% and Root Mean Square Error (RMSE) of 11.20%. This research can potentially help reduce the number of sensors needed in gait analysis, allow for portable motion capture, and improve the accuracy and efficiency of the FNN model in estimating muscle activity.

Original languageEnglish
Title of host publicationTENCON 2023 - 2023 IEEE Region 10 Conference
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)9798350302196
ISBN (Print)9798350302202
Publication statusPublished - 2023
EventIEEE Tencon (IEEE Region 10 Conference) 2023 - Chiang Mai, Thailand
Duration: 31 Oct 20233 Nov 2023
Conference number: 38th
https://ieeexplore.ieee.org/xpl/conhome/10322307/proceeding (Proceedings)
https://www.tencon2023.org/ (Website)


ConferenceIEEE Tencon (IEEE Region 10 Conference) 2023
Abbreviated titleTENCON 2023
CityChiang Mai
Internet address


  • Electromyogram
  • Feedforward Neural Network
  • Inertial Measurement Unit
  • Principal Component Analysis
  • Time Series FeatuRe Extraction on basis of Scalable Hypothesis tests (Tsfresh)

Cite this