A Preliminary Analysis of Android Educational Game Accessibility

Jesse Martinez, James Fogarty, Jon E. Froehlich

Extended Abstract Proceedings of ASSETS 2021 | Acceptance Rate: 61.8% (55 / 89)

keywords: touchscreen accessibility, educational technology, motor disabilities, games

PDF | doi | Citation | Touchscreen Accessibility

A Longitudinal Study of Pressure Sensing to Infer Real-World Water Usage Events in the Home

Jon E. Froehlich, Eric Larson, Elliot Saba, Tim Campbell, Les Atlas, James Fogarty, Shwetak Patel

Proceedings of Pervasive 2011

keywords: environmental sustainability, water sensing, home resource management, deployment, longitudinal study, machine learning, hydrosense

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Disaggregated water sensing from a single, pressure-based sensor: An extended analysis of HydroSense using staged experiments

Eric Larson, Jon E. Froehlich, Tim Campbell, Conor Haggerty, Les Atlas, James Fogarty, Shwetak Patel

Pervasive and Mobile Computing (PMC) 2010

keywords: activity sensing, infrastructure-mediated sensing, sensing, water usage, sustainability

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Where Does Your Water Go? HydroSense Knows.

Jon E. Froehlich, Eric Larson, Tim Campbell, Conor Haggerty, James Fogarty, Shwetak Patel

Poster Proceedings of BECC 2009

keywords: activity sensing, water sensing, disaggregation, hydrosense, environmental sustainability

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HydroSense: infrastructure-mediated single-point sensing of whole-home water activity

Tim Campbell, James Fogarty, Jon E. Froehlich, Conor Haggerty, Eric Larson, Shwetak Patel

Proceedings of Ubicomp 2009 | Best Paper Nominee

keywords: water sensing, hydrosense, disaggregation, activity sensing, infrastructure-mediated sensing

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Sensing Opportunities for Personalized Feedback Technology to Reduce Consumption

Jon E. Froehlich, Katherine Everitt, James Fogarty, James Landay

CHI2009 Workshop: Defining the Role of HCI in the Challenges of Sustainability

keywords: environmental sensing, resource consumption, sustainability, eco-feedback

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iLearn on the iPhone: Real-Time Human Activity Classification on Commodity Mobile Phones

T Scott Saponas, Jonathan Lester, Jon E. Froehlich, James Fogarty, James Landay

University of Washington CSE Tech Report UW-CSE-08-04-02

keywords: machine learning, activity sensing, mobile phones, human activity inference

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