Evaluating the Accuracy of Glove-Based Hand Tracking for Virtual Reality Ergonomics Assessments

The specific objective of this project is to compare the accuracy of the Manus Quantum motion capture gloves against traditional hand-held controllers for conducting proactive ergonomics analyses in virtual reality (VR). Digital human model (DHM) hand locations and joint angles will be compared to their ground truth measures derived from laboratory-grade optical motion capture. To successfully carry out this project, the partner company (Cort Research & Innovation) will work with the intern to develop a comprehensive virtual task simulation in the Siemens Process Simulate software platform. The challenge faced by the partner organization is to demonstrate the effectiveness of this technology to its automotive manufacturing clients. As such, the simulation will need to include various gripping, grasping and placement tasks relevant to the automotive industry. The ability to manipulate objects without use of a VR controller represents a critical advancement in the field of VR ergonomics. As such, successful completion of this project will benefit the partner organization and academic institution by positioning them as a leading experts on this wave of the future in proactive ergonomics assessments.

Faculty Supervisor:

Nicholas La Delfa

Student:

Partner:

Cort Research and Innovation Inc.

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Ontario Institute of Technology

Program: