The increasing popularity of smart mobile phones and their powerful sensing capabilities have enabled the collection of rich contex- tual information and mobile phone usage records through the dev
The increasing popularity of smart mobile phones and their powerful sensing capabilities have enabled the collection of rich contex- tual information and mobile phone usage records through the dev
Understanding the association between customer demographics and behaviour is critical for operators of indoor retail spaces. This study explores such an association based on a combined understandi
We analyze 18 million rows of Wi-Fi access logs collected over a one year period from over 120,000 anonymized users at an inner-city shopping mall. The anonymized dataset gathered from an optin sy
Understanding the association between customer demographics and behaviour is critical for operators of indoor retail spaces. This study explores such an association based on a combined understandi
We analyze 18 million rows of Wi-Fi access logs collected over a one year period from over 120,000 anonymized users at an inner-city shopping mall. The anonymized dataset gathered from an optin sy
The study of student engagement has attracted growing interests to address problems such as low academic performance, disaffection, and high dropout rates. Existing approaches to measuring student
The increasing popularity of smart mobile phones and their powerful sensing capabilities have enabled the collection of rich contex- tual information and mobile phone usage records through the dev
Unsafe driving behaviours can put the driver himself and other people participating in the trac at risk. Smart-phones with builtin inertial sensors oer a convenient way to passively monitor the
The increasing popularity of smart mobile phones and their powerful sensing capabilities have enabled the collection of rich contextual information and mobile phone usage records through the devic
Risky driver behaviours such as sudden braking, swerving, and excessive acceleration are a major risk to road safety. In this study, we present a learning method to recognize such behaviours from
© 2021 Flora Salim - CRUISE Research Group.