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Activity recognition in intelligent environments could play a key role for supporting people in their activities of daily life. Partially observable Markov decision process (POMDP) models have been used successfully, for example, to assist people with dementia when carrying out small multi-step tasks such as hand washing. POMDP models are a powerful, yet(More)
This paper introduces the virtual teacher, a device or agent that supplements an environment in order to facilitate acquisition by a human user of a manual skill. Like the virtual xture, a virtual teacher generally acts as an aide or facilitator to task execution, but unlike the virtual xture, the virtual teacher is present only during training periods.(More)
Online social networking has become one of the most important forms of today’s communication. While an online social network can be attractive for many socially interesting features, its competitive edge will diminish if it is not able to keep pace with increasing user activities. Deploying more servers is an intuitive way to make the system scale, but for(More)
We present a dynamic time warping based activity recognition system for the analysis of low-level food preparation activities. Accelerometers embedded into kitchen utensils provide continuous sensor data streams while people are using them for cooking. The recognition framework analyzes frames of contiguous sensor readings in real-time with low latency. It(More)
The Chi Linh Health and Demographic Surveillance System (CHILILAB HDSS) is the only health and demographic surveillance system (HDSS) in an urbanizing area of the Chi Linh district of Hai Duong, a northern province of Vietnam. It is one of the few field laboratories in the world that links operational research and health interventions with field training.(More)
Ubiquitous computing technologies have traditionally striven to augment objects and the environment with sensing capabilities to enable them to respond appropriately to the needs of the individuals in the environment. This paper considers how such technologies might be harnessed to support language learning, and specifically Task-Based Learning (TBL).(More)
We describe FoodBoard, an instrumented chopping board that uses optical fibers and embedded camera imaging to identify unpackaged ingredients during food preparation on its surface. By embedding the sensing directly, and robustly, in the surface of a chopping board we also demonstrate how surface contact optical sensing can be used to realize the(More)
  • Cuong Pham
  • 2015 Seventh International Conference on…
  • 2015
In this paper we present MobiRAR, a real-time human activity recognition system using mobile devices. The system utilizes the acceleration sensing data from the accelerometer commonly instrumented in mobile devices such as smart phones or smart watches. Our activity recognition method comprises of four steps: data processing, segmentation, feature(More)