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Probabilistic Analysis of Temporal and Sequential Aspects of Activities of Daily Living for Abnormal Behaviour Detection.

, , , , , , , and . SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, page 723-730. IEEE, (2019)

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Comparison of fiducial marker detection and object interaction in activities of daily living utilising a wearable vision sensor., , , , , and . Int. J. Commun. Syst., (2017)Probabilistic Analysis of Temporal and Sequential Aspects of Activities of Daily Living for Abnormal Behaviour Detection., , , , , , , and . SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, page 723-730. IEEE, (2019)Wearable Computing to Support Activities of Daily Living., , , and . IWAAL, volume 8868 of Lecture Notes in Computer Science, page 195-202. Springer, (2014)A Deep Clustering via Automatic Feature Embedded Learning for Human Activity Recognition., , , , , , and . IEEE Trans. Circuits Syst. Video Technol., 32 (1): 210-223 (2022)Probabilistic Analysis of Abnormal Behaviour Detection in Activities of Daily Living., , , , , , and . PerCom Workshops, page 461-466. IEEE, (2019)Design and Implementation of a Smart Home in a Box to Monitor the Wellbeing of Residents With Dementia in Care Homes., , , , , , , , , and 2 other author(s). Frontiers Digit. Health, (2021)Computer Vision-Based Gait Velocity from Non-Obtrusive Thermal Vision Sensors., , , , , and . PerCom Workshops, page 391-396. IEEE Computer Society, (2018)