2017 3rd International Conference on Electrical Information and Communication Technology (EICT) 2017
DOI: 10.1109/eict.2017.8275171
|View full text |Cite
|
Sign up to set email alerts
|

A novel design of an intangible hand gesture controlled computer mouse using vision based image processing

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
5
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
4
2
2

Relationship

0
8

Authors

Journals

citations
Cited by 8 publications
(5 citation statements)
references
References 5 publications
0
5
0
Order By: Relevance
“…The features are based on shape, color, and size (Sapna and Renuka, 2017). It extracts some important information of the object of interest (Titlee et al, 2017).…”
Section: Feature Extractionmentioning
confidence: 99%
See 2 more Smart Citations
“…The features are based on shape, color, and size (Sapna and Renuka, 2017). It extracts some important information of the object of interest (Titlee et al, 2017).…”
Section: Feature Extractionmentioning
confidence: 99%
“…M 10 is the measure of first order moment at x-axis (Pradhan and Deepak, 2016;Titlee et al, 2017;Schoeffmann et al, 2006;Adams et al, 2018).…”
Section: ) Calculating the Feature Vectormentioning
confidence: 99%
See 1 more Smart Citation
“…Titlee et al introduced a technique for controlling the mouse utilizing skin variety division. The framework was executed in MATLAB and depended on a procedure that portioned skin tone to control mouse developments[7]. The technique expected the client to wear a cumbersome information glove which was badly arranged and made it hard to perform certain motions.…”
mentioning
confidence: 99%
“…Titlee et al [2017]. The Python module called OpenCV is a library of programming functions, mostly focused on computer vision in real time.…”
mentioning
confidence: 99%