Grant: Discovery Grants Program - Individual
University of Waterloo
$72,000.00
Enhancing human system performance through digital human modeling
FY 2022-23
Summary
Human factors and ergonomics (HF a lack of well-trained highly qualified personnel (HQP) with expertise in DHM, and a lack of fundamental knowledge on the validity and sensitivity of DHMs to elicit realistic movement behaviour predictions under changing person (e.g., gender, body mass, etc.) and task (e.g., body-borne load, encumbrance) related constraints. This program of research applies a constraints-based theoretical framework and novel movement characterization approach to advance our fundamental knowledge about how person and task related factors influence movement behaviours in an occupational context. Moreover, by integrating empirical and computational (DHM) evidence, my HQP and I will determine if movement behaviours are adjusted, when constrained by person and task factors, by tuning performance objectives.Currently, our Canadian Armed Forces have limited information available to inform decisions about what type of equipment soldiers should wear, how much load they can carry, or what type of body armour is most effective to optimize soldier effectiveness while minimizing solder burden (i.e., biomechanical consequences associated with injury). In the next five years, my team and I will systematically uncover how person and task related factors affect movement behaviors, using tasks relevant to military as a starting point. This knowledge can be applied to tune and validate the performance objectives that drive DHM--based simulations, or “virtual soldiers”. Validated “virtual soldiers” can be used to proactively identify preferred equipment designs and configurations most likely to optimize solider effectiveness. In addition, my HQP will develop advanced and marketable proficiency in DHM, addressing a current void of DHM expertise in today’s workforce. My HQP will be trained to deploy DHM-based simulations to tackle work-related injury concerns more broadly across sectors including healthcare, manufacturing and service sectors.
Program
Discovery Grants Program - Individual
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2018-04483
Name nom
Fischer, Steven
Department département
Kinesiology - Kinesiology
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2018
Award amount
72000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1509
Committee name en
Civil, Industrial and Systems Engineering
Committee name fr
Génie civil, industriel et des systèmes
Area of application code
1206
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Engineering
Area of application fr
Génie
Research subject code
1600
Research subject group en
Industrial engineering
Research subject group fr
Génie industriel
Research subject en
Industrial engineering
Research subject fr
Génie industriel
Installment
inst:5;6
Partie
2
Nb partie
6
Application title
Enhancing human system performance through digital human modeling
Application summary
Human factors and ergonomics (HF a lack of well-trained highly qualified personnel (HQP) with expertise in DHM, and a lack of fundamental knowledge on the validity and sensitivity of DHMs to elicit realistic movement behaviour predictions under changing person (e.g., gender, body mass, etc.) and task (e.g., body-borne load, encumbrance) related constraints. This program of research applies a constraints-based theoretical framework and novel movement characterization approach to advance our fundamental knowledge about how person and task related factors influence movement behaviours in an occupational context. Moreover, by integrating empirical and computational (DHM) evidence, my HQP and I will determine if movement behaviours are adjusted, when constrained by person and task factors, by tuning performance objectives.Currently, our Canadian Armed Forces have limited information available to inform decisions about what type of equipment soldiers should wear, how much load they can carry, or what type of body armour is most effective to optimize soldier effectiveness while minimizing solder burden (i.e., biomechanical consequences associated with injury). In the next five years, my team and I will systematically uncover how person and task related factors affect movement behaviors, using tasks relevant to military as a starting point. This knowledge can be applied to tune and validate the performance objectives that drive DHM--based simulations, or “virtual soldiers”. Validated “virtual soldiers” can be used to proactively identify preferred equipment designs and configurations most likely to optimize solider effectiveness. In addition, my HQP will develop advanced and marketable proficiency in DHM, addressing a current void of DHM expertise in today’s workforce. My HQP will be trained to deploy DHM-based simulations to tackle work-related injury concerns more broadly across sectors including healthcare, manufacturing and service sectors.