Blar i TKD - Institutt for maskin, elektronikk og kjemi på emneord "Smart homes"
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Action Recognition in Real Homes using Low Resolution Depth Video Data
(Annual IEEE Symposium on Computer-Based Medical Systems;2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), Conference object, 2019-08-05)We report work in progress from interdisciplinary research on Assisted Living Technology in smart homes for older adults with mild cognitive impairments or dementia. We present our field trial, the set-up for collecting ... -
Activity Recognition and Prediction in Real Homes
(Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019, Trondheim, Norway, May 27–28, 2019, Proceedings;, Chapter; Peer reviewed, 2019)In this paper, we present work in progress on activity recognition and prediction in real homes using either binary sensor data or depth video data. We present our field trial and set-up for collecting and storing the data, ... -
Comparison of Probabilistic Models and Neural Networks on Prediction of Home Sensor Events
(International Joint Conference on Neural Networks (IJCNN); 2019 International Joint Conference on Neural Networks (IJCNN), Conference object, 2019-09-30)We present results and comparative analysis on the prediction of sensor events in a smart home environment with a limited number of binary sensors. We apply two probabilistic methods, namely Sequence Prediction via Enhanced ... -
Sensor Event Prediction using Recurrent Neural Network in Smart Homes for Older Adults
(2018 International Conference on Intelligent Systems (IS);, Chapter; Chapter; Peer reviewed, 2018)We present preliminary results on sensor data prediction in a smart home environment with a limited number of binary sensors. The data has been collected from a real home with one resident over a period of 17 weeks. We ...