This is the teaser video of the paper titled, “Multimodal Sensing for Predicting Real-time Biking Behavior based on Contextual Information”, accepted at IEEE PerCom 2024 as Work in Progress, to be held at Biarritz, France. The poster presentation can be attended at the venue on 13th March, at 3.00 PM CET.
We all agree that bikes are a convenient option for daily commute contributing a large proportion of road traffic accidents due to over speeding are very common for bikes in India nearly 69k that is almost 45.2% of the total Road accidents are caused by two wheelers Times of India and Hindu have
Continuously reported the severity of such accidents over the past few years to cope with overs spining we introduce poik and assistive framework that utilizes common up the cell smartphones and Google Maps to infer potential R driving behavior oik analyzes previous driving patterns from smartphone sensors and considers demographics and map image
Of the upcoming 100 m neighborhood to infert the Future driving speed our thorough evaluation on real world data shows bic is accurate within only 3.41 km hour estimation error this framework can be applied to generate preventive alerts for the bikers to warn against reckless driving and developed AI based mechatronic speed controllers
Moreover bike and health insurance companies can better analyze the risk to personalize their premium this work has been accepted in the work in progress track of I parcom 2024 happening in barage France join us in the teaser and poster sessions for a live presentation and discussion in
Iik to know more about this ongoing work please scan the QR code thank you for listening