A User Model of Psycho-physiological Measure of Emotion

Running head : Musical emotions : psycho - physiological investigations . Musical emotions : predicting second - by - second subjective feelings of emotion from psycho - physiological measurements

A New Similarity Measure Based on Item Proximity and Closeness for Collaborative Filtering Recommendation

Recommender systems utilize information retrieval and machine learning techniques for filtering information and can predict whether a user would like an unseen item. User similarity measurement plays an important role in collaborative filtering based recommender systems. In order to improve accuracy of traditional user based collaborative filtering techniques under new user cold-start problem a...

Psycho-Physiological and Acoustic Background of Stress and Emotion Expression in Speech

The paper describes the most essential psycho-physiological phenomena underlying unconscious expression of stress and emotional arousal in the acoustic speech signal. The concept of Functional State (FS) of the human is used. Some involuntary and relatively standard psycho-physiological processes in the brain and organism during the transition from calm to stress and related modifications of ac...

A NOVEL FUZZY-BASED SIMILARITY MEASURE FOR COLLABORATIVE FILTERING TO ALLEVIATE THE SPARSITY PROBLEM

Memory-based collaborative filtering is the most popular approach to build recommender systems. Despite its success in many applications, it still suffers from several major limitations, including data sparsity. Sparse data affect the quality of the user similarity measurement and consequently the quality of the recommender system. In this paper, we propose a novel user similarity measure based...

Toward Building Adaptive User’s Psycho-Physiological Maps of Emotions using Bio-Sensors

We present a method applied to the emotional subjective experience of the user for extracting emotional semantic information from Autonomic Nervous System (ANS) physiological signals (skin conductance and heart rate) sensed via bio-sensors. We present a physiologicallyinspired data structure based on intra-individual rule extraction used to reach an interpretation of the physiological measure c...