Learning Activity Predictors from Sensor Data: Algorithms, Evaluation, and Applications.
IEEE Transactions on Knowledge and Data Engineering(2017)
摘要
Recent progress in Internet of Things (IoT) platforms has allowed us to collect large amounts of sensing data. However, there are significant challenges in converting this large-scale sensing data into decisions for real-world applications. Motivated by applications like health monitoring and intervention and home automation we consider a novel problem called Activity Prediction, where the goal is...
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关键词
Prediction algorithms,Smart homes,Training data,Feature extraction,Activity recognition,Environmental factors,Measurement
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