Jennifer Howcroft, University of Waterloo
Lecturer
Waterloo, Ontario
jenny.howcroft@uwaterloo.ca
Office:
(519) 888-4567 ext. 40163
Expert In
Biomedical engineering
Clinical and rehabilitation engineering
Clinical engineering
Driving fitness assessment
Driving fitness assessments
Fall risk assessment
Force and pressure sensors
Gait analysis
Gait analysis and wearable sensors
Inertial sensors
Machine learning
Naturalistic driving
Older adults
Pedagogical research
Rehabilitation engineering
Wearable sensors
Bio/Research
Jennifer Howcroft is a Lecturer in the Department of Systems Design Engineering at the University of Waterloo.
My research has predominantly focused on sensor-based movement analysis in combination with appropriate signal analysis, big data analytics, and artificial intelligence techniqu...
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My research has predominantly focused on sensor-based movement analysis in combination with appropriate signal analysis, big data analytics, and artificial intelligence techniqu...
Click to Expand >>
Bio/Research
Jennifer Howcroft is a Lecturer in the Department of Systems Design Engineering at the University of Waterloo.
My research has predominantly focused on sensor-based movement analysis in combination with appropriate signal analysis, big data analytics, and artificial intelligence techniques. Predominantly, my research areas of interests are: (1) using biomechanics and wearable-sensor for monitoring and assessing human movement with a focus on fall risk assessments and (2) analyzing naturalistic driving patterns with a focus on older adult driving safety and big data sets.
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My research has predominantly focused on sensor-based movement analysis in combination with appropriate signal analysis, big data analytics, and artificial intelligence techniques. Predominantly, my research areas of interests are: (1) using biomechanics and wearable-sensor for monitoring and assessing human movement with a focus on fall risk assessments and (2) analyzing naturalistic driving patterns with a focus on older adult driving safety and big data sets.
Click to Shrink <<