Interoperable neuro-fuzzy services for emotion-aware ambient intelligence

Vitiello, Autilia

doi:10.1016/j.neucom.2013.01.046

Cited by 25 publications

(12 citation statements)

References 20 publications

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“…ANFIS is an adaptive network and, as such, it works to achieve a desired input-output by updating parameter sets according to given training data and a gradient-based update procedure [16]. In particular, this updating feature is used in ANFIS to learn and adapt the parameters of a given TakagiSugeno-Kang (TSK) fuzzy inference system.…”

Section: B Anfismentioning

confidence: 99%

An adaptive neuro-fuzzy inference system for the qualitative study of perceptual prominence in linguistics

Vitiello

Cutugno

Wagner

et al. 2017

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

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Abstract-This paper explores the applications of fuzzy logic inference systems as an instrument to perform linguistic analysis in the domain of prosodic prominence. Understanding how acoustic features interact to make a linguistic unit be perceived as more relevant than the surrounding ones is generally needed to study the cognitive processes needed for speech understanding. It also has technological applications in the field of speech recognition and synthesis. We present a first experiment to show how fuzzy inference systems, being characterised by their capability to provide detailed insight about the models obtained through supervised learning can help investigate the complex relationships among acoustic features linked to prominence perception.

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Section: B Anfismentioning

confidence: 99%

An adaptive neuro-fuzzy inference system for the qualitative study of perceptual prominence in linguistics

Vitiello

Cutugno

Wagner

et al. 2017

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

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“…For emotion interpretation and further affect regulation, Ambient Intelligence (AmI) is a key element (Acampora and Vitiello, 2013). Indeed, AmI proposes to create intelligent environments to suit the needs, personal taste, and interests of people that live in them.…”

Section: Vision Systems To Monitor the Emotional State Of Aging Peoplementioning

confidence: 99%

A Grand Challenge for Vision Systems: Improving the Quality of Life and Care of Aging Adults

Fernández-Caballero

2015

Front. Robot. AI

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“…For emotion interpretation and regulation we heavily bet on Ambient Intelligence (AmI) [20] which proposes the creation of intelligent environments to suit the needs, tastes and interests of people that live in them. Moreover, the relationship between emotions and AmI is called "emotion-aware AmI" (AmE), which could be defined as emotion conscious AmI.…”

Section: Fundamentals Of Smart Emotion Recognition and Regulationmentioning

confidence: 99%

Improvement of the Elderly Quality of Life and Care through Smart Emotion Regulation

Fernández-Caballero

Postigo

Pastor

et al. 2014

Ambient Assisted Living and Daily Activities

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Abstract. This paper introduces a project named "Improvement of the Elderly Quality of Life and Care through Smart Emotion Regulation". The objective of the project is to find solutions for improving the quality of life and care of the elderly who can or wants to continue living at home by using emotion regulation techniques. Cameras and body sensors are used for monitoring the elderlies' facial and gestural expression, activity and behaviour, as well as relevant physiological data. This way the older people's emotions are inferred and recognized. Music, colour and light are the simulating means to regulate their emotions towards a positive and pleasant mood.

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Interoperable neuro-fuzzy services for emotion-aware ambient intelligence

Cited by 25 publications

References 20 publications

An adaptive neuro-fuzzy inference system for the qualitative study of perceptual prominence in linguistics

An adaptive neuro-fuzzy inference system for the qualitative study of perceptual prominence in linguistics

A Grand Challenge for Vision Systems: Improving the Quality of Life and Care of Aging Adults

Improvement of the Elderly Quality of Life and Care through Smart Emotion Regulation

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