Grant: Discovery Grants Program - Individual

Work-related musculoskeletal disorders cause a tremendous financial burden to Canadian society. In a proactive ergonomics process, digital human models (DHMs), or virtual human avatars, can be inserted into computerized renderings of the workplace, allowing engineers loskeletal disorders through the enhancement of ergonomics strength and fatigue assessment tools within DHM work simulation. The short-term objectives of my research program are to: 1) Understand human strength capability in a variety of occupationally-relevant scenarios and worker populations; 2) Study how transient factors, such as neuromuscular fatigue, affect occupational strength capability; and 3) Continually update predictive models of human capability within DHM simulation frameworks. My lab's specific research approach involves a series of in vivo laboratory studies investigating how manual arm strength is affected by factors such as sex, age, limb dominance and dynamic exertions (Obj. 1). We will also evaluate the transient muscle fatigue response when repetitive, manual force protocols are performed at a range of exposure levels relative to current acceptable ergonomics limits (Obj. 2). During these objectives, we will simultaneously validate and update simulation outputs, with experimental results from Obj. 1 & 2, to further enhance our capacity to predict acceptable force limits in any theoretical occupational scenario and work simulation (Obj. 3). My research program will produce short- and long-term outcomes that: a) contribute to our fundamental knowledge of human strength capability and occupational muscle fatigue, while b) concurrently facilitating immediate impact and knowledge transfer in the form of enhanced DHM and work simulation capability in the industrial engineering process. Another goal of my research program is to produce highly qualified trainees in the field of occupational ergonomics, who will work in a highly collaborative laboratory-based research environment and gain exposure working with and translating their research to industrial partners in the automotive and DHM software industries. Developing robust predictive models of human capability and performance represents an exciting advancement in the fidelity of proactive work simulation and works towards the long-term goal of reducing workplace injuries and their substantial emotional and financial burden to Canadian industry and society.