Human activity monitoring based on indoor map positioning

Pan, Zhigang; Chen, Wei

doi:10.1007/s00542-020-05124-w

Cited by 3 publications

(2 citation statements)

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“…There is a multitude of real-life applications for IPSs. For example, as we mentioned, identifying ways of monitoring aging populations [5,6,10]. Another example is their application in the retail sector: knowing where customers are at any given time, their path can be analysed for commercial purposes [17].…”

Section: Indoor Location In the Context Of Ageingmentioning

confidence: 99%

“…People are ageing and many have a strong need to stay in their homes, even if they live alone, which means that systems are needed to monitor their behaviour in order to anticipate or alert to undesired situations [2]. Indoor positioning systems (IPSs) represent a key tool for behavioural monitoring [3] because they make it possible to monitor relevant behavioural habits in people, which can be used as an indicator of falls [4] or for the recognition of human activities [5,6]. This technology can provide us with information, for example, on whether an inhabitant has been in the kitchen eating, has spent too much time on the sofa, waking and sleeping times or the number of times he/she has visited the bathroom.…”

Section: Introductionmentioning

confidence: 99%

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UJAmI Location: A Fuzzy Indoor Location System for the Elderly

Albín-Rodríguez

Robles

López

et al. 2021

IJERPH

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Due to the large number of elderly people with physical and cognitive issues, there is a strong need to provide indoor location systems that help caregivers monitor as many people as possible and with the best quality possible. In this paper, a fuzzy indoor location methodology is proposed in a smart environment based on mobile devices and Bluetooth Low Energy (BLE) beacons where a set of Received Signal Strength Indicators (RSSI) is received by mobile devices worn by the inhabitants. The use of fuzzy logic and a fuzzy linguistic approach is proposed to deal with the imprecise nature of the RSSI values, which are influenced by external factors such as radio waves, causing significant fluctuations. A case study carried out at the Smart Lab of the University of Jaén (UJAmI Smart Lab) is presented to demonstrate the effectiveness of the proposed methodology, where our proposal is compared with a non-fuzzy logic approach, obtaining an accuracy of 91.63%, approximately 10 points higher than the methodology without using fuzzy logic. Finally, our theoretical proposal is accompanied by a description of the UJAmI Location system, which applies the theory to the functionality of locating elderly people in indoor environments.

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