Evidential fusion of sensor data for activity recognition in smart homes

By Xin Hong, C. Nugent, Maurice David Mulvenna, S. McClean, B. Scotney, Steven Devlin. 2009

268 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Water Science and Technology

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In Computer Networks and Communications

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Citations in the corpus

A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion (2019, methodology): “[36] introduced anonymous binary sensors and employed D-S theory to recognize the inhabitant activity, which collects data from several contact sensors installed in cupboards, the fridge, the microwave etc.”
A survey of data fusion in smart city applications (2019, background): “Domain Sources O S D T L P Remarks [52] 3 1 2 4 1 4 Smart Healthcare [112] 3 1 1 4 4 4 Voice Pathology Detection [113] 3 3 4 3 2 4 Smart Home Healthcare Monitoring [110] 3 1 2 4 1 4 Daily Activity Classification [45] 2 1 2 4 2 4 Smart Home Activity Recognition [111] 3 1 3 4 2 4 Tele-Rehabilitation [”
A review on vision techniques applied to Human Behaviour Analysis for Ambient-Assisted Living (2012, methodology): “(reprinted from [38], c ©Elsevier, 2008).”
COSAR: hybrid reasoning for context-aware activity recognition (2011, background): “Observations regarding the user’s surrounding environment (in particular, objects’ use), possibly coupled with body-worn sensor data, are the basis of many other activity recognition systems (e.g., [10, 12 , 25, 27]).”
Elderly activities recognition and classification for applications in assisted living (2013, methodology): “…Frequency Identification (RFID) (Hong et al., 2010; Martínez-Pérez et al., 2012; Huang, Lee, Kuo, & Lee, 2010), binary sensor (Fleury et al., 2010; Hong et al., 2009), camera (Costa, Castillo, Novais, Fernndez- Caballero, & Simoes, 2012; Olivieri, Conde, & Sobrino, 2012; Martí nez-Pérez et al.,…”
Activity Recognition Using Inertial Sensing for Healthcare, Wellbeing and Sports Applications: A Survey (2010, background): “However this type of activity recognition is intrusive and disruptive in some applications[4] and violates the privacy of the users in some cases[5].”