A Shadow Based Low-Cost Hand Movement Recognition System for Human Computer Interaction

2021 ◽  
Author(s):  
Geetha V ◽  
Sanket Salvi ◽  
Pulak Sahoo ◽  
Mitika Dodiya ◽  
Shreya Gupta
Keyword(s):  
Human Computer Interaction ◽  
Low Cost ◽  
Hand Movement ◽  
Recognition System ◽  
Movement Recognition ◽  
Computer Interaction

scholarly journals Electrooculograms for Human–Computer Interaction: A Review

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2690 ◽  
Author(s):  
Won-Du Chang
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Eye Movements ◽  
Human Computer Interaction ◽  
Low Cost ◽  
Communication Tools ◽  
Virtual Keyboard ◽  
Basic Characteristics ◽  
Electric Signals ◽  
Lateral Sclerosis ◽  
Computer Interaction

Eye movements generate electric signals, which a user can employ to control his/her environment and communicate with others. This paper presents a review of previous studies on such electric signals, that is, electrooculograms (EOGs), from the perspective of human–computer interaction (HCI). EOGs represent one of the easiest means to estimate eye movements by using a low-cost device, and have been often considered and utilized for HCI applications, such as to facilitate typing on a virtual keyboard, moving a mouse, or controlling a wheelchair. The objective of this study is to summarize the experimental procedures of previous studies and provide a guide for researchers interested in this field. In this work the basic characteristics of EOGs, associated measurements, and signal processing and pattern recognition algorithms are briefly reviewed, and various applications reported in the existing literature are listed. It is expected that EOGs will be a useful source of communication in virtual reality environments, and can act as a valuable communication tools for people with amyotrophic lateral sclerosis.

scholarly journals Design of Head Movement Controller System (HEMOCS) for Control Mobile Application through Head Pose Movement Detection

2016 ◽  
Vol 10 (3) ◽  
pp. 24 ◽  
Author(s):  
Herman Tolle ◽  
Kohei Arai
Keyword(s):  
Human Computer Interaction ◽  
Head Movement ◽  
Mobile Application ◽  
Control Method ◽  
Low Cost ◽  
Movement Control ◽  
Head Pose ◽  
Head Mounted Displays ◽  
Music Player ◽  
Computer Interaction

Head movement has been found to be a natural way of interaction. It can be used as an alternative control method and provides accessibility for users when used in human computer interface solutions. The combination of Head-mounted displays (HMDs) with mobile devices, provide an innovation of new low cost of human-computer interaction. Such devices are hands-free systems. In this paper, we introduce a new method for recognizing head movement as the controller of mobile application and proposed a new control system using head movement only. The proposed method can determine specific head pose movement and respond it as a controller. The implementation of a music player application on an iOS devices shows that the proposed method is appropriate for a new experience of real-time human-computer interaction with head movement control only.

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