Related projects
Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.
With the increasing requirements for smart vehicles in recent years, driving activity recognition in vehicles becomes a promising direction given its unique advantages in safe driving and human-car interaction. It can not only alert the driver when there exist distracted driving behaviors but also enable novel human-car interactions with gesture-based control. Most state-of-the-art systems use camera-based approaches for activity recognition, which highly rely on enough visible light and have a high risk of user privacy leakage. We propose that WiFi signals can be leveraged for driving activity recognition in vehicles as WiFi is replacing Bluetooth for in-car deployment. The objective of this research is to develop a WiFi-based driving activity recognition framework using advanced signal processing and deep learning techniques for driving assistance applications. This research is closely related to PANOMOTION TECHNOLOGY INC., a local startup working on intelligent driving sensing and assistance. Our research can greatly benefit the company by applying the research outcomes to its main products.
Jane Wang
Fangxin Wang
PanoMotion Technology Inc
Engineering - computer / electrical
Professional, scientific and technical services
University of British Columbia
Accelerate
Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.
Find the perfect opportunity to put your academic skills and knowledge into practice!
Find ProjectsThe strong support from governments across Canada, international partners, universities, colleges, companies, and community organizations has enabled Mitacs to focus on the core idea that talent and partnerships power innovation — and innovation creates a better future.