The SENSHome Sensitive Home: Sensors for Special Environments. The house as normal as possible and as special as necessary (Q4297084)
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Project Q4297084 in Austria, Italy
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | The SENSHome Sensitive Home: Sensors for Special Environments. The house as normal as possible and as special as necessary |
Project Q4297084 in Austria, Italy |
Statements
762,433.54 Euro
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982,422.96 Euro
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77.61 percent
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1 October 2019
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31 March 2022
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Libera Università di Bolzano
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46°37'10.81"N, 14°16'24.35"E
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45°39'30.78"N, 13°47'35.66"E
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45°43'51.31"N, 12°14'36.67"E
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46°29'54.71"N, 11°21'2.20"E
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The scope of SENSHOME project is to study and develop a new smart home design and technologies to be applicable to houses “as normal as possible” to be inhabited autonomously by disable people, especially for autistic people. A smart sensor networks will be implemented to have the possibility to recognize hazardous events of disable people in need and to monitor and regulate room conditions (e.g. temperature, humidity, acoustics), improving comfort, wellbeing and especially energy saving. It will be implemented the combination of sensors such as microphones arrays, thermal and light sensors, providing a realistic identification of events sorting hazardous from common ones. New interior design solutions will be developed integrated with technology The innovative goal is to enable a self-determined and independent life and ensure a high level of privacy to disable people. SENSHOME will bridge the gap between independent living and nursing homes to support involved user groups, especially autistic people as primary end users, which are not able to live by themselves but do not require constant care either. Related to a sustainable strategy, the SENSHOME might be adapted for the personal safety of also elderly people in the context of Active and Assisted Living beyond project lifetime. More specifically, we aim to infer the persons’ status by means of centralized architectures that collect data from a set of sensors deployed in their living environment. (English)
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