Elderly drivers will be more present on the road in the next few#R##N#years. Mobility is fundamental for the elderly because it allows them to maintain#R##N#an active lifestyle. But the elderly may suffer from cognitive, physical or#R##N#sensorial decline due to aging. To help them to drive, context-aware systems#R##N#can assess the status of a driver and warn him or her about hazards. We present#R##N#a data analysis tool for car driving context information that includes data mining#R##N#and statistical evaluation algorithms. We applied our system to data collected#R##N#by sensors into an instrumented vehicle in realistic driving conditions. Results#R##N#show that our tool is able to store the contextual information collected and#R##N#to enable an interactive visualization of the data collected. Thanks to this tool, it#R##N#is easier to share information among the scientists working on the data. Moreover,#R##N#it makes it convenient to store data in the cloud.
['Perrine Ruer', 'Charles Gouin-Vallerand', 'Le Zhang', 'Daniel Lemire', 'Évelyne F. Vallières']
An Analysis Tool for the Contextual Information from Field Experiments on Driving Fatigue