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Brent Longstaff
Researcher at University of California, Los Angeles
Publications - 11
Citations - 551
Brent Longstaff is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Mobile computing & Data collection. The author has an hindex of 7, co-authored 11 publications receiving 519 citations.
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Proceedings ArticleDOI
Improving activity classification for health applications on mobile devices using active and semi-supervised learning
TL;DR: This paper compares active learning and three different semi-supervised learning methods, self-learning, En-Co-Training, and democratic co- learning, to determine which show promise for automatically augmenting activity classifiers after they are deployed in an application.
Journal Article
Ambulation: a tool for monitoring mobility patterns over time using mobile phones
TL;DR: Ambulation is a mobility monitoring system that uses Android and Nokia N95 mobile phones to automatically detect the user’s mobility mode, allowing them to identify trends in their mobility and measure progress over time and in response to varying treatments.
Proceedings ArticleDOI
Ambulation: A Tool for Monitoring Mobility Patterns over Time Using Mobile Phones
TL;DR: Ambulation as mentioned in this paper is a mobility monitoring system that uses Android and Nokia N95 mobile phones to automatically detect the user's mobility mode and uploads the collected mobility and location information to a server.
Proceedings ArticleDOI
ohmage: An open mobile system for activity and experience sampling
Nithya Ramanathan,Faisal Alquaddoomi,Hossein Falaki,Dony George,Cheng-Kang Hsieh,John Jenkins,Cameron Ketcham,Brent Longstaff,Jeroen Ooms,Joshua Selsky,Hongsuda Tangmunarunkit,Deborah Estrin +11 more
TL;DR: Ohmage as discussed by the authors is a mobile to web platform that records, analyzes, and visualizes data from both prompted experience samples entered by the user, as well as continuous streams of data passively collected from sensors onboard the mobile device.
Journal ArticleDOI
Ohmage: A General and Extensible End-to-End Participatory Sensing Platform
Hongsuda Tangmunarunkit,Cheng-Kang Hsieh,Brent Longstaff,S. Nolen,John G. Jenkins,Cameron Ketcham,Joshua Selsky,Faisal Alquaddoomi,D. George,Jinha Kang,Z. Khalapyan,Jeroen Ooms,Nithya Ramanathan,Deborah Estrin +13 more
TL;DR: The flexibility, modularity, and extensibility of ohmage in supporting diverse deployment settings are presented through three distinct case studies in education, health, and clinical research.