Accurate Fall Detection andIdentification:Surveillance-IntegratedSelf-Reporting System
Abstract
This is a report investigating fall detection using inertial measurementunits. The report consists of a background and problem statement, thescope of the research, methodology, and theoretical framework. The pro-posed method consists of using a setup made up of a microcontroller andan IMU. We have determined a theoretical threshold, tested and adjustedit to verify the fall detection system’s accuracy, allowing us to uncover thepossibilities of threshold-based fall detection.
Fields of Study & Subjects
Context-Aware Activity Recognition Systems
Balance
Gait
and Falls Prevention
Inertial Sensor and Navigation
Publication details
- Journal / source
- Jönköping University Publications (Jönköping University)
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Thesis