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» Daily Routine Recognition through Activity Spotting
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LOCA
2009
Springer
13 years 9 months ago
Daily Routine Recognition through Activity Spotting
This paper explores the possibility of using low-level activity spotting for daily routine recognition. Using occurrence statistics of lowlevel activities and simple classifiers b...
Ulf Blanke, Bernt Schiele
IHI
2010
143views Healthcare» more  IHI 2010»
12 years 11 months ago
Mining and monitoring patterns of daily routines for assisted living in real world settings
In this paper we demonstrate a fully automated approach for discovering and monitoring patterns of daily activities. Discovering patterns of daily activities and tracking them can...
Parisa Rashidi, Diane J. Cook
PERCOM
2010
ACM
13 years 3 months ago
All for one or one for all? Combining heterogeneous features for activity spotting
Abstract—Choosing the right feature for motion based activity spotting is not a trivial task. Often, features derived by intuition or that proved to work well in previous work ar...
Ulf Blanke, Bernt Schiele, Matthias Kreil, Paul Lu...
AAAI
2004
13 years 6 months ago
Learning and Inferring Transportation Routines
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
Lin Liao, Dieter Fox, Henry A. Kautz
TKDE
2012
208views Formal Methods» more  TKDE 2012»
11 years 7 months ago
A Knowledge-Driven Approach to Activity Recognition in Smart Homes
Abstract—This paper introduces a knowledge-driven approach to real-time, continuous activity recognition based on multisensor data streams in smart homes. The approach goes beyon...
Liming Chen, Chris D. Nugent, Hui Wang