Wrist-based device accelerometer analysis for establishing thresholds of various violent attacks
Year: 2018
Type: dissertation
Abstract: Legal authorities are continually investigating violent attacks in an attempt to establish a series of events surrounding the cause of injury or death. Currently, the main source of proof when obtaining factual evidence in regards to violent movements is CCTV or mobile phone vision. Advances in technology have now led to wearable sensors being able to recognize specific movements. Using a wrist-worn accelerometer, an approach was developed to identify violent movements that may occur during an incident. Straight-arm punch, slap, and hammer motions were performed by a male subject while wearing an accelerometer on the dominant wrist and data was extracted from the device in an attempt to blindly identify and differentiate violent-impact events from other daily activities.
Author: Harrison Keeffe
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: Murdoch University
OpenAlex ID: W2916585734