- Human Mobility and Location-Based Analysis
- Context-Aware Activity Recognition Systems
- Digital Mental Health Interventions
- Sleep and related disorders
- Noise Effects and Management
- Infection Control and Ventilation
- COVID-19 Digital Contact Tracing
- Indoor and Outdoor Localization Technologies
- Sharing Economy and Platforms
- Mobile Crowdsensing and Crowdsourcing
- Opportunistic and Delay-Tolerant Networks
- Autism Spectrum Disorder Research
- Mental Health Research Topics
- Data-Driven Disease Surveillance
- Smart Grid Energy Management
- Software Engineering Research
- Building Energy and Comfort Optimization
- Obstructive Sleep Apnea Research
- Mobile Health and mHealth Applications
- Technology Use by Older Adults
- Patient Dignity and Privacy
- Emotion and Mood Recognition
- Privacy, Security, and Data Protection
- Elder Abuse and Neglect
- Economic and Environmental Valuation
University of Toronto
2023-2024
Public Health Ontario
2024
University of Massachusetts Amherst
2021-2023
Singapore Management University
2014-2023
Contact tracing is a well-established and effective approach for the containment of spread infectious diseases. While Bluetooth-based contact method using phones has become popular recently, these approaches suffer from need critical mass adoption to be effective. In this paper, we present WiFiTrace, network-centric that relies on passive WiFi sensing with no client-side involvement. Our exploits network logs gathered by enterprise networks performance security monitoring, utilizes them...
Stress and depression are a common affliction in all walks of life. When left unmanaged, stress can inhibit productivity or cause depression. Depression occur independently stress. There has been sharp rise mobile health initiatives to monitor However, these usually require users install dedicated apps multiple sensors, making such solutions hard scale. Moreover, they emphasise sensing individual factors overlook social interactions, which plays significant role influencing while being part...
Proper indoor ventilation through buildings' heating, ventilation, and air conditioning (HVAC) systems has become an increasing public health concern that significantly impacts individuals' safety at home, work, school. While much work progressed in providing energy-efficient user comfort for HVAC IoT devices mobile-sensing approaches, is aspect received lesser attention despite its importance. With a motivation to monitor airflow from building commodity sensing devices, we present...
Problem behaviors are particularly common in children with neurodevelopmental disorders like Autism and Down syndrome. These sometimes discourage social inclusion, inhibit learning development, cause severe injuries, but caregivers often unable to attend their immediately when the occur. Recent research shows that problem behavior can be automatically detected wearable devices, it is still not clear how reduce caregivers' burdens facilitate academic, social, functional development of...
Mobile sensing has played a key role in providing digital solutions to aid with COVID-19 containment policies, primarily automate contact tracing and social distancing measures. As more countries reopen from lockdowns, there remains pressing need minimize crowd movements interactions, particularly enclosed spaces. Many technology leverage positioning systems, generally using Bluetooth GPS, can theoretically be adapted monitor safety compliance within dedicated environments. However, they may...
The types of human activities occupants are engaged in within indoor spaces significantly contribute to the spread airborne diseases through emitting aerosol particles. Today, ubiquitous computing technologies can inform users common atmosphere pollutants for air quality. However, they remain uninformed rate generated directly from respiratory activities, a fundamental parameter impacting risk transmission. In this paper, we present AeroSense, novel privacy-preserving approach using audio...
<sec> <title>BACKGROUND</title> Out of necessity, dependent adults often ask proxies to help manage their digital accounts. However, data on the prevalence and predictors proxy behaviour is scarce, piecemeal. </sec> <title>OBJECTIVE</title> We aim describe among US population, associated demographic, behavior care factors. <title>METHODS</title> designed a cross-sectional online survey with nationally representative adult cohort. 657 residents completed survey. <title>RESULTS</title> Our...
The availability of commercial wearable trackers equipped with features to monitor sleep duration and quality has enabled more useful health monitoring applications analyses. However, much research reported the challenge long-term user retention in through these modalities. Since modern Internet users own multiple mobile devices, our work explores possibility employing ubiquitous devices passive WiFi sensing techniques predict as fundamental measure for complementing initiatives. In this...
Human social interactions occur in group settings of varying sizes and locations, depending on the type activity. The ability to distinguish formations based their purposes transforms how detection mechanisms function. Not only should such tools support effective serendipitous encounters, but they can derive categories relation types among users. Determining who is involved, what activity performed, when where occurs are critical understanding processes greater depth, including supporting...
Objectives Population ageing and increased care needs lead to adults making consequential medical decisions for others, potentially impacting treatment end of life. We aim describe the prevalence decision-making by proxy among national population associated demographic factors. Methods designed a cross-sectional online survey with nationally representative adult cohort an 80% participation rate. 311 Singapore residents completed survey. Results 73% respondents reported having ever assisted...
With sleep deprivation being a public health concern, sleep-monitoring technology, mainly through consumer-grade wearables, has shown value among users to better understand their most fundamental measure of health. Unfortunately, utilizing wearable technology is bound the conditions owning these devices and using them bed every night. While wearables can deliver highly personalized insights users, they inadvertently affect ability monitoring solutions reach unprivileged sections society due...
<sec> <title>UNSTRUCTURED</title> While it is commonly reported that older adults seek help in using and managing digital accounts, little known about the prevalence predictors of proxy behavior (the act giving one's account rights to others for assistance). We conducted a nationally representative survey Singapore describe robust our data set. compare these findings against comparable study United States America. The analysis shows proxies differ slightly demographic composition, with age,...
The exploration of our envisioned system, BreathEasy, offers the alternative utilization ambient acoustic sensing techniques to promote user awareness and ensure healthy indoor environments. There has been a renewed interest in providing optimal ventilation indoors after pandemic. While increasing at all times leads high energy consumption, prior work uses occupancy-based or air quality-based approaches modulate ventilation. However, risk assessment is very complex requires information about...
Social identification: how much individuals psychologically associate themselves with a group has been posited as an essential construct to measure individual and dynamics. Studies have shown that who identify very differently from their workgroup provide critical cues the lack of social support or work overloads. However, measuring identification is typically achieved through time-consuming privacy-invasive surveys. We hypothesize extremities in-group norm affects individuals' behaviors,...
Digital contact tracing can limit the spread of infectious diseases. Nevertheless, there remain barriers to attaining sufficient adoption. In this study, we investigate how willingness participate in is affected by two critical factors: modes data collection and type collected. We conducted a scenario-based survey study among 220 respondents United States (U.S.) understand their perceptions about associated with automated manual methods. The findings indicate promising use smartphones...
Much research argues the importance of supporting social interactions in teams and communities. The field mobile sensing alone offers significant advances recording understanding human group behaviours. However, little is known about behavioural changes as a consequence in-group phenomena. One prominent example intra-group conflict, which naturally arises between diverse groups people. We demonstrate feasibility our approach to extract mobility patterns individual's behaviours sensed from...
The Android Open Source Project(AOSP) has seen tremendous traction over the past decade, and as such, bug repository is growing in scale. With this growth, effort required for project members to triage incoming new reports identify whether it a duplicate issue that already been addressed, or receiving attention, also on rise. In work, we create dataset of issues from tracker, use standard IR techniques such VSM LDA understand their capability similar retrieval. Further, combine evaluate its...
Sleep deprivation is a public health concern that significantly impacts one's well-being and performance. an intimate experience, state-of-the-art sleep monitoring solutions are highly-personalized to individual users. With motivation expand capabilities at large scale contribute data understanding, we present Wisleep, system for inferring duration using smartphone network connections passively sensed from WiFi infrastructure. We propose unsupervised ensemble model of Bayesian change point...
Much research argues that feeling overwhelmed by stress and for prolonged periods can lead to severe mental illness such as early onset depression anxiety among many others. Recovering from a normal state is much easier, in terms of the length time treatment required, compared when more serious conditions have manifested [1]. Unfortunately, existing monitoring applications either require dedicated be installed on user's mobile device or use various wearable sensors [2, 4, 6, 7]; thus are not...