A privacy-preserving and unobtrusive sitting posture recognition system via pressure array sensor and infrared array sensor for office workers

Xiangying Zhang, Junming Fan, Tao Peng (Corresponding Author), Pai Zheng (Corresponding Author), C. K. M. Lee, Renzhong Tang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Sitting posture recognition is essential in preventing work-related musculoskeletal disorders (WMSDs). WMSDs are of huge concern for office workers whose working process is averagely 81.8% sedentary. Prevailing studies have utilized cameras, wearables, and pressure sensors to recognize sitting postures. The cameras and wearables can achieve accurate recognition results, while personal privacy concerns and inconvenience for long-term use impede their adoption. Meanwhile, the pressure sensors are privacy-preserving and convenient. However, they cannot accurately recognize the sitting posture with different states of the trunk, head, upper extremity, and lower extremity. Considering the pros and cons of those approaches, this study proposes a novel privacy-preserving and unobtrusive sitting posture recognition system, which combines a pressure array sensor with another privacy-preserving sensing technology, i.e., an infrared array (IRA) sensor. Moreover, a deep learning-based sitting posture recognition algorithm is developed, which adopts a feature-level fusion strategy and does not require a complex handcrafted feature extraction process. Based on the ergonomics studies, ten daily sitting postures with the states of different body parts are selected. This system achieved an overall 90.6% accuracy using the leave-subject-out validation approach based on the self-collected dataset from 21 subjects. It has a great potential for privacy-preserving and unobtrusive related applications for sitting posture management.

Original languageEnglish
Article number101690
JournalAdvanced Engineering Informatics
Volume53
DOIs
Publication statusPublished - Aug 2022

Keywords

  • Deep learning
  • Ergonomics
  • Infrared array sensor
  • Pressure array sensor
  • Sitting posture recognition

ASJC Scopus subject areas

  • Information Systems
  • Building and Construction
  • Artificial Intelligence

Fingerprint

Dive into the research topics of 'A privacy-preserving and unobtrusive sitting posture recognition system via pressure array sensor and infrared array sensor for office workers'. Together they form a unique fingerprint.

Cite this