Machine Learning-Based Smartphone Grip Posture Image Recognition and Classification

Machine Learning-Based Smartphone Grip Posture Image Recognition and Classification

Uncomfortable smartphone grip postures resulting from inappropriate user interface design can degrade smartphone usability. This study aims to develop a classification model for smartphone grip postures by detecting the positions of the hand and fingers on smartphones using machine learning techniqu...

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Bibliographic Details
Main Authors: Dohoon Kwon, Xin Cui, Yejin Lee, Younggeun Choi, Aditya Subramani Murugan, Eunsik Kim, Heecheon You
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Sciences
Subjects:
grip posture
smartphone user interface
machine learning
image detection
image classification
Online Access:https://www.mdpi.com/2076-3417/15/9/5020
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