Author: Dr Alessandro Miccoli STSM Period: 2018-04-23 – 2018-04-30
Hosting institution: Faculty of Computer Science and Engineering Ss. Cyril and Methodius University,
From ITC: No
The integration of sensing technologies and ICT in living environments and furniture may enable an ambient assisted living system that allows inferring a potential dangerous condition for an elderly person living alone at home. This inference is obtained by the proper co-existence of several layers, from the physical one, with sensor nodes fixed into furniture, to an abstraction layer that performs reasoning on sensor data, learns from the users’ behavioral patterns, and advices when unusual patterns are detected [Ref1]. Furniture is a ubiqui-tous object, i.e., it can be found everywhere at home or the office, and it can integrate and hide sensors and the connectivity elements necessary to let them live in a sensor network. These connectivity capabilities are making it feasible to sense the behaviours of people at home and act accordingly [Ref2]. However, many is-sues still need to be uncovered, with respect to the specific sensing technology considered [Ref3]. Among the possibilities, this STSM will focus on non-contact sensing techniques, to analyze the state-of-the-art sci-entific literature about their technical requirements, to enable the measurement of vital signs in a reliable and effective way [Ref4]. The proposed STSM aims to investigate the viability, possible technology requirements, and limitations as-sociated to the integration of non-contact sensors (like sub-mm radar, or vision and depth sensors) for human monitoring into living environments and home furniture, in order to design systems that allow to measure physiological signals even by indirect or innovative procedures. The following tasks will be performed in the proposed STSM: T1: Identify, in accordance with the research staff of ALLab, the sensing technologies of interest for the proposed integration analysis. T2: Perform appropriate state-of-the-art research in the scientific and technical literature. T3: Arrange a first draft of a review paper summarizing the outcomes of the state-of-the-art literature re-view, and identify possible directions for future investigations. The following results are expected from this proposed STSM.
R1: A first draft of a review paper to be further extended and finally submitted for possible joint publica-tion by the researchers in ALLab and DII.
R2: A preliminary roadmap on the joint research activities to carry out within the topic of the STSM. A letter of invitation from ALLab (as host institution) and a letter of support from DII-Università Politecnica delle Marche (home institution) confirm the joint interest on the proposed STSM.
[Ref1] A. L. Bleda, F. J. Fernández-Luque, A. Rosa, J. Zapata and R. Maestre, “Smart
Sensory Furniture Based on WSN for Ambient Assisted Living,” in IEEE Sensors Journal, vol. 17, no. 17, pp.
5626-5636, Sept.1, 2017.doi: 10.1109/JSEN.2017.2721434
[Ref2] Bleda, A. L., Jara, A. J., Maestre, R., Santa, G. and Gómez Skarmeta, A. F., “Evaluation of the Im-pact of Furniture on Communications Performance for Ubiquitous Deployment of Wireless Sensor Networks in Smart Homes”, Sensors, 12, 2012, pp. 6463-6496.
[Ref3] https://e2e.ti.com/blogs_/b/msp430blog/archive/2017/05/25/why-knock-on-wood-when-touch-will-do [Ref4] G. Diraco, A. Leone and P. Siciliano, “A Radar-Based Smart Sensor for Unobtrusive Elderly Moni-toring in Ambient Assisted
Living Applications”, Biosensors 2017, 7, 55; doi:10.3390/bios7040055