Smart Object for AAL: A Review

Bevilacqua, Roberta; Ceccacci, Silvia; Germani, Michele; Iualè, Matteo; Mengoni, Maura; Papetti, Alessandra

doi:10.1007/978-3-319-01119-6_32

Cited by 6 publications

(2 citation statements)

References 7 publications

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“…This is the main objective of the Ambient Assisted Living (AAL), an IoT platform powered by artificial intelligence that uses the information and communication technologies to serve this objective. Activity recognition and behavior understanding are the desired results of using a variety of sensors in AAL (García, et al, 2017;Bevilacqua et al, 2014;Monekosso et al, 2015). This can be direct via wearable sensors or indirectly through environmental sensors and stream analysis.…”

Section: Figure 6: Main Services and Application In An Iomtmentioning

confidence: 99%

Characterizing internet of medical things/personal area networks landscape

Rajput

Brahimi

2020

Innovation in Health Informatics

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Section: Figure 6: Main Services and Application In An Iomtmentioning

confidence: 99%

Characterizing internet of medical things/personal area networks landscape

Rajput

Brahimi

2020

Innovation in Health Informatics

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“…To increase transparency, a possible solution is represented by the use of smart objects, that is, the augmentation of everyday objects with sensing, communication, and networking technology to support specific tasks. 9 In this framework, recent studies have been achieving monitoring of elder users through the implementation of instrumented daily-use objects, such as a cane 10 or insoles. 11 On the contrary, to boost user’s engagement, we have observed a surge of gameful design in the healthcare domain, 12 including assessment, training, and rehabilitation.…”

Section: Introductionmentioning

confidence: 99%

Validity and usability of a smart ball–driven serious game to monitor grip strength in independent elderlies

Lunardini

Borghese

Piccini³

et al. 2020

Health Informatics J

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Telemonitoring is one of the most expedient answers to the strong need for preventive care imposed by the rapidly aging society. We propose an innovative solution to the detection of early signs of frailty by presenting a serious game controlled by a smart sensorized soft plastic ball, designed to achieve continuous home-based monitoring of muscle weakness in older adults. Design, development, and testing of the smart ball and of the game interface devised to guide the monitoring procedure are presented. Reliability and concurrent validity of the system in measuring maximal grip strength against the clinical standard Jamar® were evaluated. Serious game usability and acceptance were investigated on 26 elderlies. Smart ball and Jamar measurements were well correlated (0.76 and 0.80 for dominant and non-dominant hands) and test–retest reliability of pressure measurements was excellent (intraclass correlation coefficient >0.94). The serious game was well accepted by the 96.1 percent of participants, who provided a strongly positive usability score (87.7/100). The smart ball–driven serious game demonstrated excellent reliability and good validity in measuring grip strength. The proposed smart ball–driven serious game can be used for home self-monitoring of grip strength in elderlies.

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