Home Telecare for the Elderly

Coyle, Geraldine; Boydell, Leslie; Brown, Lynn Greenleaf

doi:10.1177/1357633x9500100309

Cited by 54 publications

(23 citation statements)

References 1 publication

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“…The installed sensor networks can also monitor and detect elderly people's behavior, e.g., a fall [9,16]. These small sensor nodes allow the subject a greater freedom of movement and allow doctors to identify pre-defined symptoms earlier [56].…”

Section: Health Applicationsmentioning

confidence: 99%

Wireless sensor networks: a survey

et al. 2002

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Section: Health Applicationsmentioning

confidence: 99%

Wireless sensor networks: a survey

et al. 2002

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“…Many military and security applications can be considered as well, such as border monitoring applications or battlefield monitoring applications [40]. Healthcare is another possibility for the use of WSNs and this has a possible cross utilization with teleoperation in telecare for patients, especially the elderly, as studied in [41] and [42]. A more detailed list of WSN applications can be found in [27].…”

Section: Wireless Sensor Networkmentioning

confidence: 99%

The integration of mobile (tele) robotics and wireless sensor networks: A survey

Wichmann

Okkalıoğlu

Korkmaz

2014

Computer Communications

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“…Sensor network research includes various detection, tracking, and localization applications [1][2][3][4], ranging from geophysical studies [5][6][7], to health monitoring systems [8][9][10], and military applications [11]. The most common environmental studies include fire, and flood detection, and biocomplexity mapping, where mostly pressure, humidity, and temperature sensors are deployed.…”

Section: Introductionmentioning

confidence: 99%

Information Regularized Sensor Fusion: Application to Localization With Distributed Motion Sensors

Özertem

Erdoğmuş

2007

J VLSI Sign Process Syst Sign Im

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We propose the information regularization principle for fusing information from sets of identical sensors observing a target phenomenon. The principle basically proposes an importance-weighting scheme for each sensor measurement based on the mutual information based pairwise statistical similarity matrix between sensors. The principle is applied to maximum likelihood estimation and particle filter based state estimation. A demonstration of the proposed regularization scheme in centralized data fusion of dense motion detector networks for target tracking is provided. Simulations confirm that the introduction of information regularization significantly improves localization accuracy of both maximum likelihood and particle filter approaches compared to their baseline implementations. Outlier detection and sensor failure detection capabilities, as well as possible extensions of the principle to decentralized sensor fusion with communication constraints are briefly discussed.

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Home Telecare for the Elderly

Cited by 54 publications

References 1 publication

Wireless sensor networks: a survey

Wireless sensor networks: a survey

The integration of mobile (tele) robotics and wireless sensor networks: A survey

Information Regularized Sensor Fusion: Application to Localization With Distributed Motion Sensors

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