Articles | Volume 13, issue 2
https://doi.org/10.5194/jsss-13-187-2024
https://doi.org/10.5194/jsss-13-187-2024
Regular research article
 | 
22 Jul 2024
Regular research article |  | 22 Jul 2024

Human activity recognition system using wearable accelerometers for classification of leg movements: a first, detailed approach

Sandra Schober, Erwin Schimbäck, Klaus Pendl, Kurt Pichler, Valentin Sturm, and Frederick Runte

Viewed

Total article views: 827 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
697 112 18 827 62 63
  • HTML: 697
  • PDF: 112
  • XML: 18
  • Total: 827
  • BibTeX: 62
  • EndNote: 63
Views and downloads (calculated since 22 Jul 2024)
Cumulative views and downloads (calculated since 22 Jul 2024)

Viewed (geographical distribution)

Total article views: 813 (including HTML, PDF, and XML) Thereof 813 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 16 Sep 2025
Download
Short summary
A human activity recognition (HAR) system carried by masseurs for controlling a therapy table via different movements of legs or hip was studied. This work starts with a survey on HAR systems using the sensor position "trouser pockets". Afterwards, in the experiments, the impacts of different parameters and configurations on the classification accuracy is examined to get a thorough understanding of the classification process.
Share