Behavior models from 3D-sensed body gestures and audio utterances

Name: Behavior models from 3D-sensed body gestures and audio utterances
Brand: Éditions universitaires européennes
SKU: 9786202273725
Price: 63.94 EUR
Availability: InStock

Автор: Osée Muhindo Masivi

Език:

Корици: С меки корици

Издател: Éditions universitaires européennes

Наличност: Външен склад

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This research proposes deterministic and probabilistic generic multimodal behavior understanding mod...

Информация за книгата

Автор

Osée Muhindo Masivi

Език

Английски език

Корици

Книга - С меки корици

Издадена

2017

страници

248

EAN

9786202273725

Enbook ID

18861563

Издател

Éditions universitaires européennes

Теглоt

387

Размери

150 x 220 x 15

Пълно описание

This research proposes deterministic and probabilistic generic multimodal behavior understanding models from body gestures and vocal utterances sensed by Microsoft Kinect technology. The proposed deterministic model is based on Moore Machine principles while the probabilistic model is a machine learning approach using Hidden Markov Models. The models have been implemented in a friendly graphical system which encompasses detecting, recognizing, discovering, learning, predicting and measuring human emotional behavior patterns. The system takes as input the skeletal data and voice signal from Kinect Sensor. Then specific gestures and interjections are recognized, grouped and classified depending on the context. Rule-based, signal alignment modelsMicrosoft and Speech recognizer have been used respectively for static and dynamic body gestures and emotional interjections. Tests reveals an averal precision 94.67%, sensitivity 88.89%, specificity 99.24 (false alarm rate 0.76%), efficiency 92.91%, positive prediction accuracy 98.91%, reliability of 94.40% and overall accuracy of 88.60%. Deterministic behavior classifier reached 100% hit rate while probabilistic averaged 90.8%.

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Behavior models from 3D-sensed body gestures and audio utterances

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Пълно описание

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