In the frame of POR FESR 2014-2020 Programs, the SoundLight project is intended to be a support for the inpatients, to ameliorate their pre and post-surgery psychophysiological conditions. SoundLight is an adaptive system, based on an intelligent agent designed for the control and the combined administration of auditory and visual stimuli, in a clinical environment. More precisely, the agent autonomously processes the sound signal, coming from various sources, and provides real-time conversion of the signal into controlled lighting effects, that are perceived relaxing by patients. The system is based on spectral signal analysis for the characterization of the sound signal and leverages on a novel sound-to-color conversion algorithm, which allows to transform main sound characters first into a chromatic reference wavelength and finally into a set of RGB values to be sent to light sources. The paper briefly introduces some essential concepts of the spectral analysis developed and focuses on the hardware/software architecture adopted to achieve real-time processing while maintaining a very compact form-factor of the processing hardware. Some key concepts related to the ongoing validation are also presented

The SoundLight System: Fostering Adaptive Sound and Light Control in Clinical Environment / Saiu, S., Grosso, E.. - (2020), pp. 1-6. [10.1145/3378184.3378191]

The SoundLight System: Fostering Adaptive Sound and Light Control in Clinical Environment

Saiu S.
;
Grosso E.
2020-01-01

Abstract

In the frame of POR FESR 2014-2020 Programs, the SoundLight project is intended to be a support for the inpatients, to ameliorate their pre and post-surgery psychophysiological conditions. SoundLight is an adaptive system, based on an intelligent agent designed for the control and the combined administration of auditory and visual stimuli, in a clinical environment. More precisely, the agent autonomously processes the sound signal, coming from various sources, and provides real-time conversion of the signal into controlled lighting effects, that are perceived relaxing by patients. The system is based on spectral signal analysis for the characterization of the sound signal and leverages on a novel sound-to-color conversion algorithm, which allows to transform main sound characters first into a chromatic reference wavelength and finally into a set of RGB values to be sent to light sources. The paper briefly introduces some essential concepts of the spectral analysis developed and focuses on the hardware/software architecture adopted to achieve real-time processing while maintaining a very compact form-factor of the processing hardware. Some key concepts related to the ongoing validation are also presented
2020
Inglese
Saiu, Salvatore; Grosso, Enrico
appis 2020: proceedings of the 3rd international conference on applications of intelligent systems
1
6
6
9781450376303
signal processing, avs,
The SoundLight System: Fostering Adaptive Sound and Light Control in Clinical Environment / Saiu, S., Grosso, E.. - (2020), pp. 1-6. [10.1145/3378184.3378191]
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Saiu, S.; Grosso, E.
273
2
none
info:eu-repo/semantics/conferenceObject
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11388/298758
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