Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods
Jayakanth Kunhoth(Qatar University), Younes Akbari(Qatar University), Moutaz Saleh(Qatar University)
Cited by 35
Related Papers
Indoor positioning and wayfinding systems: a survey
|Human-centric Computing and Information Sciences|2020|258
Video steganography: recent advances and challenges
|Multimedia Tools and Applications|2023|76
Smartphone-based food recognition system using multiple deep CNN models
|Multimedia Tools and Applications|2021|69
Comparative analysis of computer-vision and BLE technology based indoor navigation systems for people with visual impairments
|International Journal of Health Geographics|2019|52
CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
|Expert Systems with Applications|2023|35