A Study on Emotion Classification utilizing Bio-Signal (PPG, GSR, RESP)

Abstract

Abstract. Recently, in order to measure human sensibility, diversified researches including facial expression, questionnaire and analysis of bio-signal have been progressed. The objective of this study is to classify human sensibility quantitatively and objectively by using 3 types of bio-signal of PPG, GSR and RESP. First, bio-signal was analyzed by sorting out photos based on 6 types of basic sensibility (delight, laugh, surprise, anger, frustration, sorrow) suggested in IAPS and its variation was measured. Sensibility measurement and classification research could be utilized as sensibility of products or contents and usability assessment indicators and this may be helpful in social, cultural and economic perspective.

Applying Eye-Tracking Technology to Measure Interactive Experience Toward the Navigation Interface of Mobile Games Considering Different Visual Attention Mechanisms

“…This technique helps to understand the player's cognitive processing and preferences but it cannot grasp the player's behavior and emotional reactions [10]. A fundamental problem with these linguistic measurement methods is that the emotional experience is not primarily language-based and translating emotional experiences into language requires cognitive effort that may affect measurement.Some scholars have tried to adopt biometric methods to measure players' emotional processing during their playing [11][12][13]. These methods provide designers with players' real-time emotional responses to the game's functionality and design.…”

“…Some scholars have tried to adopt biometric methods to measure players' emotional processing during their playing [11][12][13]. These methods provide designers with players' real-time emotional responses to the game's functionality and design.…”

A Study on Sensorial Marketing with Biometric Technology

“…Since the social foundation to acquire the bio-information of the users easily was prepared by the development of wearable technology, the personalization marketing is going to be expanded continuously. The bio-information acquisition technology is being developed even to the research to extraction the emotional information by acquiring the bio-signal such as heat rate and brainwave starting from the use of image information such as face and eyes [25]. The personalization marketing research will required the research for new marketing method generated by connecting with social network services.…”

Emotion Recognition with Short-Period Physiological Signals Using Bimodal Sparse Autoencoders

“…Physiological signals are more accurate indicators because they generally cannot be consciously controlled. Therefore, emotion recognition methods based on physiological signals such as photoplethysmography (PPG), electromyography (EMG), electroencephalography (EEG), electrooculography, electro-skin response, and respiration are more objective and reliable [5][6][7][8].…”