The Fundamentals of Human-Computer Interaction

2018 ◽  
pp. 4199-4209 ◽  
Author(s):  
Kijpokin Kasemsap
Keyword(s):  
Human Computer Interaction ◽  
Communication Systems ◽  
Social Issues ◽  
Hand Gesture ◽  
Design Management ◽  
Organizational Issues ◽  
Communications Systems ◽  
Effective Manner ◽  
Stakeholder Requirements ◽  
Computer Interaction

This article explains the overview of Human-Computer Interaction (HCI); cognitive models, socio-organizational issues, and stakeholder requirements; HCI and hand gesture recognition; and the multifaceted applications of HCI. HCI is a sociotechnological discipline whose goal is to bring the power of computers and communication systems to people in ways and forms that are both accessible and useful in the effective manner. HCI plays an important role in identifying the environmental and social issues which can affect the use of systems, and providing techniques to ensure the design of the system will be usable, effective, and safe. HCI draws on computer science, computer and communications engineering, graphic design, management, psychology, and sociology as it tries to make computer and communications systems ever more usable in executing tasks. HCI is an important consideration for any business that uses computers in their everyday operation.

The Fundamentals of Human-Computer Interaction

2019 ◽  
pp. 524-535
Author(s):  
Kijpokin Kasemsap
Keyword(s):  
Human Computer Interaction ◽  
Communication Systems ◽  
Social Issues ◽  
Hand Gesture ◽  
Design Management ◽  
Organizational Issues ◽  
Communications Systems ◽  
Effective Manner ◽  
Stakeholder Requirements ◽  
Computer Interaction

This chapter explains the overview of human-computer interaction (HCI); cognitive models, socio-organizational issues, and stakeholder requirements; HCI and hand gesture recognition; and the multifaceted applications of HCI. HCI is a sociotechnological discipline whose goal is to bring the power of computers and communication systems to people in ways and forms that are both accessible and useful in the effective manner. HCI plays an important role in identifying the environmental and social issues that can affect the use of systems, and provide techniques to ensure the design of the system will be usable, effective, and safe. HCI draws on computer science, computer and communications engineering, graphic design, management, psychology, and sociology as it tries to make computer and communications systems ever more usable in executing tasks. HCI is an important consideration for any business that uses computers in their everyday operation.

scholarly journals To Control Electrical MCBs using Hand Gesture Recognition

2015 ◽  
Vol 14 (9) ◽  
pp. 6102-6106
Author(s):  
Sangeeta Goyal ◽  
Dr. Bhupesh Kumar
Keyword(s):  
Human Computer Interaction ◽  
Gesture Recognition ◽  
Human Body ◽  
Circuit Breaker ◽  
Hand Gesture Recognition ◽  
Hand Movements ◽  
Hand Gesture ◽  
Handicapped Person ◽  
New Techniques ◽  
Computer Interaction

There has been growing interest in development of new techniques and methods for Human-Computer Interaction (HCI). Gesture Recognition is one of the important areas of this technology. Gesture Recognition means interfacing with computer using motion of human body typically hand movements. As a Handicapped person cannot move very easily and quickly if there is a fire in house or he/she cannot switch off the Miniature Circuit Breaker (MCB) but the same task can be done easily with hand gesture recognition. In our proposed system electrical MCB can be controlled using hand gesture recognizer. To switch on/off the MCB, we need to provide hand based gesture as an input to system.

A User-Developed 3-D Hand Gesture Set for Human–Computer Interaction

2014 ◽  
Vol 57 (4) ◽  
pp. 607-621 ◽  
Author(s):  
Anna Pereira ◽  
Juan P. Wachs ◽  
Kunwoo Park ◽  
David Rempel
Keyword(s):  
Human Computer Interaction ◽  
Hand Gesture ◽  
Computer Interaction

scholarly journals Simultaneous Hand Gesture Classification and Finger Angle Estimation via a Novel Dual-Output Deep Learning Model

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2972
Author(s):  
Qinghua Gao ◽  
Shuo Jiang ◽  
Peter B. Shull
Keyword(s):  
Deep Learning ◽  
Human Computer Interaction ◽  
Data Augmentation ◽  
Experimental Testing ◽  
Learning Model ◽  
Hand Gesture ◽  
Angle Estimation ◽  
Gesture Classification ◽  
Deep Learning Model ◽  
Computer Interaction

Hand gesture classification and finger angle estimation are both critical for intuitive human–computer interaction. However, most approaches study them in isolation. We thus propose a dual-output deep learning model to enable simultaneous hand gesture classification and finger angle estimation. Data augmentation and deep learning were used to detect spatial-temporal features via a wristband with ten modified barometric sensors. Ten subjects performed experimental testing by flexing/extending each finger at the metacarpophalangeal joint while the proposed model was used to classify each hand gesture and estimate continuous finger angles simultaneously. A data glove was worn to record ground-truth finger angles. Overall hand gesture classification accuracy was 97.5% and finger angle estimation R 2 was 0.922, both of which were significantly higher than shallow existing learning approaches used in isolation. The proposed method could be used in applications related to the human–computer interaction and in control environments with both discrete and continuous variables.

Sign in / Sign up

Export Citation Format

Share Document