A Physiological Approach to Affective Computing

Whang, Mincheol; Lim, Joa-Sang

doi:10.5772/6174

Cited by 8 publications

(2 citation statements)

References 51 publications

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“…Methods to measure the emotion are visible-light cameras, thermal cameras, voice data or physiological signals, such as from electrocardiography (ECG), electroencephalograms (EEGs) or skin temperature (SKT) data [27]. Proposed emotional reasoning engine based on mobile user situation is on the basis of a context-aware and multimodal emotional reasoning model taking into account both the internal physiological variables (SKT, GSR, PPG, Movement) and the external environment variables (Temperature, Humidity, illumination) [28,29].…”

Section: Fig 2 Overview Of the Connected Car Systemmentioning

confidence: 99%

The Design, Implementation, Demonstration of the Architecture, Service Framework, and Applications for a Connected Car

2021

KSII TIIS

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While the conventional vehicle's Head-Units played relatively simple roles (e.g., control of heating ventilation and air conditioning, the radio reception), they have been evolving into vehicle-driver interface with the advent of the concept of Connected Car on top of a rapid development of ICT technology. The Head-Unit is now successfully extended as an IVI (In Vehicle Infotainment) that can operate various functions on multimedia, navigation, information with regards to vehicle's parts (e.g. air pressure, oil gauge, etc.). In this paper, we propose a platform architecture for IVI devices required to achieve the goal as a connected car. Connected car platform (CoCaP) consists of vehicle selective gateway (VSG) for receiving and controlling data from major components of a vehicle, application framework including native and web APIs required to request VSG functionality from outside, and service framework for driver assistance. CoCaP is implemented using Tizen IVI and Android on hardware platforms manufactured for IVI such as Nexcom's VTC1010 and Freescale's i.MX6q/dl, respectively. For more practical verification, CoCaP platform was applied to an real-world finished vehicle. And it was confirmed the vehicle's main components could be controlled using various devices. In addition, by deriving several services for driver assistance and developing them based on CoCaP, this platform is expected to be available in various ways in connected car and ITS environments.

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Section: Fig 2 Overview Of the Connected Car Systemmentioning

confidence: 99%

The Design, Implementation, Demonstration of the Architecture, Service Framework, and Applications for a Connected Car

2021

KSII TIIS

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“…However rapid advancement in computer technology has post a challenge in education as student are required to have the right kind of attitude to keep up with these changes [1]. Challenges in the form of interaction were only studied on how it affected human thinking, but researchers have shown that emotion should also be considered when dealing with computers [2], [3], [4]. Thus emotions are important in establishing a positive learning environment especially in Human Computer Interaction (HCI) [3].…”

Section: Introductionmentioning

confidence: 99%

The Relationship Between Emotional Intelligence and Students' Attitude Towards Computers: A Study on Polytechnic Engineering Students

Kumar¹,

Muniandy²,

Yahaya³

2012

IJMECS

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Computers are perceived as an important tool in the world of education. Computer technology today when used in teaching and learning could open the world to students. However when learning is concern, emotions relevant to learning should not be forgotten. Thus emotional intelligence should be considered when computers and learning is concern. There is very little research on the effect of emotional intelligence on learning and on technology. As learning with technology relates to computers, thus this study focuses on the relationship between emotional intelligence and attitudes towards computer. Based on this study it was found that emotional intelligence of the polytechnic engineering students was average and their attitudes towards computers were positive. The relationship between emotional intelligence and attitude towards computer is positive but very weak. Significant difference were found when gender was compared however CGPA (Cumulative Grade Point Average) and ownership of computers did not affect this relationship.

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Affect detection from non-stationary physiological data using ensemble classifiers

et al. 2014

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A Physiological Approach to Affective Computing

Cited by 8 publications

References 51 publications

The Design, Implementation, Demonstration of the Architecture, Service Framework, and Applications for a Connected Car

The Design, Implementation, Demonstration of the Architecture, Service Framework, and Applications for a Connected Car

The Relationship Between Emotional Intelligence and Students' Attitude Towards Computers: A Study on Polytechnic Engineering Students

Affect detection from non-stationary physiological data using ensemble classifiers

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