Publications: behaviour

Mining user behavioral rules from smartphone data through association analysis

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 predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces

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

Analyzing Web behavior in indoor retail spaces

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 predictability of user demographics from cyber-physical-socialbehaviours in indoor retail spaces

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

Analyzing Web Behavior in Indoor Retail Spaces

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

n-Gage: Predicting in-class Emotional, Behavioural and Cognitive Engagementin the Wild

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

Mining User Behavioral Rules from Smartphone Data through Association Analysis

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

Genetic Programming for Channel Selection from Multi-stream SensorData with Application on Learning Risky Driving Behaviours

Unsafe driving behaviours can put the driver himself and other people participating in the trac at risk. Smart-phones with builtin inertial sensors o er a convenient way to passively monitor the

Mining User Behavioral Rules from Smartphone Data Through Association Analysis

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

Learning Risky Driver Behaviours from Multi-Channel Data Streams Using Genetic Programming

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.