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- Keyword
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- Affective computing; self assessment manikin; mimetic muscles; signal processing; physiological pattern recognition; emotion; random forest; naive Bayes; artificial neural network; k nearest neighbour; support vector machine; artificial intelligence; Optical pattern recognition; Image processing (1)
- Artificial intelligence (1)
- Computational intelligence (1)
- Data mining techniques (1)
- Machine learning (1)
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Articles 1 - 2 of 2
Full-Text Articles in Physical Sciences and Mathematics
Artificial Intelligence And Data Mining: Algorithms And Applications, Jianhong Xia, Fuding Xie, Yong Zhang, Craig Caulfield
Artificial Intelligence And Data Mining: Algorithms And Applications, Jianhong Xia, Fuding Xie, Yong Zhang, Craig Caulfield
Research outputs 2013
Artificial intelligence and data mining techniques have been used in many domains to solve classification, segmentation, association, diagnosis, and prediction problems. The overall aim of this special issue is to open a discussion among researchers actively working on algorithms and applications. The issue covers a wide variety of problems for computational intelligence, machine learning, time series analysis, remote sensing image mining, and pattern recognition. After a rigorous peer review process, 20 papers have been selected from 38 submissions. The accepted papers in this issue addressed the following topics: (i) advanced artificial intelligence and data mining techniques; (ii) computational intelligence in …
On The Recognition Of Emotion From Physiological Data, Warren Creemers
On The Recognition Of Emotion From Physiological Data, Warren Creemers
Theses: Doctorates and Masters
This work encompasses several objectives, but is primarily concerned with an experiment where 33 participants were shown 32 slides in order to create ‗weakly induced emotions‘. Recordings of the participants‘ physiological state were taken as well as a self report of their emotional state. We then used an assortment of classifiers to predict emotional state from the recorded physiological signals, a process known as Physiological Pattern Recognition (PPR). We investigated techniques for recording, processing and extracting features from six different physiological signals: Electrocardiogram (ECG), Blood Volume Pulse (BVP), Galvanic Skin Response (GSR), Electromyography (EMG), for the corrugator muscle, skin temperature …