Premium
Finger gesture input utilizing the rear camera of a mobile phone: A perspective of mobile CAD
Author(s) -
Lee Sangwon,
Ha Taehyun,
Lim SeongJae
Publication year - 2018
Publication title -
human factors and ergonomics in manufacturing and service industries
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.408
H-Index - 39
eISSN - 1520-6564
pISSN - 1090-8471
DOI - 10.1002/hfm.20724
Subject(s) - computer science , gesture , interface (matter) , mobile device , cad , mobile phone , perspective (graphical) , computer vision , task (project management) , support vector machine , feature (linguistics) , context (archaeology) , artificial intelligence , point (geometry) , human–computer interaction , engineering , engineering drawing , telecommunications , paleontology , linguistics , philosophy , geometry , mathematics , systems engineering , bubble , maximum bubble pressure method , parallel computing , biology , operating system
Abstract Various interfaces have been suggested for mobile devices, including touch gesture and embedded sensor‐based interfaces. However, if a user's task requires a thorough look, these interfaces hinder sight of view in display and thus can be inappropriate for the tasks. This problem is more important especially in the mobile computer aided design (CAD) context, which performs visually demanding tasks on the limited screen. To address this point, this study suggests a mobile interface utilizing the rear camera of the device and describes the function mapping for CAD. The suggested interface detects finger attachment and movement direction. The number of colors in camera vision and local binary pattern are used as features, and a support vector machine (SVM) is used for feature classification. A prototype application is designed for validation, and appropriate SVM models are selected through benchmarking tests. The validation results show that the suggested interface can perform with high accuracy and low computational resources.