Exploiting Correlation between Body Gestures and Spoken Sentences for Real-time Emotion Recognition

Humans communicate their affective states through different media, both verbal and non-verbal, often used at the same time. The knowledge of the emotional state plays a key role to provide personalized and context-related information and services.

Continua a leggereExploiting Correlation between Body Gestures and Spoken Sentences for Real-time Emotion Recognition

A framework for computational fluid dynamic analyses of patient-specific stented coronary arteries from optical coherence tomography images

The clinical challenge of percutaneous coronary interventions (PCI) is highly dependent on the recognition of the coronary anatomy of each individual. The classic imaging modality used for PCI is angiography, but advanced imaging techniques that are routinely performed during PCI, like optical coherence tomography (OCT), may provide detailed knowledge of the pre-intervention vessel anatomy as well as the post-procedural assessment of the specific stent-to-vessel interactions.

Continua a leggereA framework for computational fluid dynamic analyses of patient-specific stented coronary arteries from optical coherence tomography images

KIND-DAMA: A modular middleware for Kinect-like device data management

In the last decades, we have witnessed a growing interest toward touchless gestural user interfaces. Among other reasons, this is due to the large availability of different low-cost gesture acquisition hardware (the so-called “Kinect-like devices”).

Continua a leggereKIND-DAMA: A modular middleware for Kinect-like device data management

Stability assessment of first order statistics features computed on ADC maps in soft-tissue sarcoma

Lo scopo di questo studio è stato quello di valutare la stabilità e la rilevanza delle caratteristiche radiomiche per l'analisi delle immagini mediche dei sarcomi dei tessuti molli.

Continua a leggereStability assessment of first order statistics features computed on ADC maps in soft-tissue sarcoma

Real-Time Body Gestures Recognition Using Training Set Constrained Reduction

Gesture recognition is an emerging cross-discipline research field, which aims at interpreting human gestures and associating them to a well-defined meaning.

Continua a leggereReal-Time Body Gestures Recognition Using Training Set Constrained Reduction

Conveying Audience Emotions Through Humanoid Robot Gestures to an Orchestra During a Live Musical Exhibition

In the last twenty years, robotics have been applied in many heterogeneous contexts. Among them, the use of humanoid robots during musical concerts have been proposed and investigated by many authors.

Continua a leggereConveying Audience Emotions Through Humanoid Robot Gestures to an Orchestra During a Live Musical Exhibition

A robust construction algorithm of the centerline skeleton for complex aortic vascular structure using computational fluid dynamics

Questo lavoro presenta un nuovo metodo per l'estrazione della linea centrale delle ramificazioni vascolari, utilizzando la fluidodinamica computazionale (CFD).

Continua a leggereA robust construction algorithm of the centerline skeleton for complex aortic vascular structure using computational fluid dynamics

Investigating how user avatar in touchless interfaces affects perceived cognitive load and two-handed interactions

In recent years, touchless-enabling technologies have been more and more adopted for providing public displays with gestural interactivity.

Continua a leggereInvestigating how user avatar in touchless interfaces affects perceived cognitive load and two-handed interactions

They are looking at me!: understanding how audience presence impacts on public display users

It is well known from prior work, that people interacting as well as attending to a public display attract further people to interact. This behavior is commonly referred to as the honeypot effect.

Continua a leggereThey are looking at me!: understanding how audience presence impacts on public display users

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