Multi-sensor movement analysis for transport safety and health applications

Recent increases in the use of and applications for wearable technology has opened up many new avenues of research. In this paper, the authors consider the use of lifelogging and global positioning system (GPS) data to extend fine-grained movement analysis for improving applications in health and safety. The authors first design a framework to solve the problem of indoor and outdoor movement detection from sensor readings associated with images captured by a lifelogging wearable device. Second the authors propose a set of measures related with hazard on the road network derived from the combination of GPS movement data, road network data and the sensor readings from a wearable device. Third, the authors identify the relationship between different socio-demographic groups and the patterns of indoor physical activity and sedentary behaviour routines as well as disturbance levels on different road settings.

• Record URL:
  • https://doi.org/10.1371/journal.pone.0210090
• Supplemental Notes:
  • © 2019 Katarzyna Sila-Nowicka and Piyushimita Thakuriah.
• Authors:
  • Sila-Nowicka, Katarzyna
  • Thakuriah, Piyushimita
• Publication Date: 2019

Language

• English

Media Info

• Media Type: Web
• Features: Figures; Photos; References; Tables;
• Serial:
  • PLoS One
  • Volume: 14
  • Issue Number: 1
  • Publisher: Public Library of Science
  • EISSN: 1932-6203
  • Serial URL: https://journals.plos.org/plosone/
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Data fusion; Demographics; Detection and identification; Global Positioning System; Health; Highway safety; Mobility applications; Motion; Networks; Roads; Social factors
• Uncontrolled Terms: Wearable technology interface
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01707580
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 5 2019 2:20PM