Alphabet Handwriting Recognition: From Wood‐Framed Hydrogel Arrays Design to Machine Learning Decoding [PDF]
Handwriting recognition is a highly integrated system, demanding hardware to collect handwriting signals and software to deal with input data. Nonetheless, the design of such a system from scratch with sustainable materials and an easily accessible ...
Guihua Yan +7 more
doaj +3 more sources
A Sequential Handwriting Recognition Model Based on a Dynamically Configurable CRNN [PDF]
Handwriting recognition refers to recognizing a handwritten input that includes character(s) or digit(s) based on an image. Because most applications of handwriting recognition in real life contain sequential text in various languages, there is a need to
Ahmed AL-Saffar +4 more
doaj +2 more sources
Beyond Signatures: Leveraging Sensor Fusion for Contextual Handwriting Recognition [PDF]
This paper deals with biometric identification based on unique patterns and characteristics of an individual’s handwriting, focusing on the dynamic writing process on a touchscreen device.
Alen Salkanovic +3 more
doaj +2 more sources
Recognition of handwriting from electromyography. [PDF]
Handwriting--one of the most important developments in human culture--is also a methodological tool in several scientific disciplines, most importantly handwriting recognition methods, graphology and medical diagnostics.
Michael Linderman +2 more
doaj +4 more sources
Intelligent Human–Computer Interaction: Combined Wrist and Forearm Myoelectric Signals for Handwriting Recognition [PDF]
Recent studies have highlighted the possibility of using surface electromyographic (EMG) signals to develop human–computer interfaces that are also able to recognize complex motor tasks involving the hand as the handwriting of digits.
Andrea Tigrini +10 more
doaj +2 more sources
Major depressive disorder recognition based on electronic handwriting recorded in psychological tasks [PDF]
Background This study aimed to determine whether handwriting patterns are altered in individuals experiencing depressive episodes. Additionally, we developed a model for the recognition of major depressive disorder (MDD) based on electronic handwriting ...
Chong Li +7 more
doaj +2 more sources
Decoding Handwriting Trajectories from Intracortical Brain Signals for Brain‐to‐Text Communication [PDF]
The potential to decode handwriting trajectories from brain signals has yet to be fully explored in clinical brain‐computer interfaces (BCIs). Here, intracortical neural signals are recorded from a paralyzed individual during attempted handwriting of ...
Guangxiang Xu +6 more
doaj +2 more sources
Real time handwriting recognition system using CNN algorithms
— The growing use of digital technologies across various sectors and daily activities has made handwriting recognition a popular research topic. Despite the continued relevance of handwriting, people still require the conversion of handwritten copies ...
Maryam Yaseen Abdullah
doaj +1 more source
Handwriting serves to link auditory and motor routines with visual word processing, which is a hallmark of successful reading. The current study aims to explore the effect of multisensory integration as a pathway to neural specialization for print among ...
Connie Qun Guan +3 more
doaj +1 more source
Arabic Handwritten Text Recognition Systems and Challenges and Opportunities [PDF]
Arabic handwritten text recognition faces significant challenges despite the large number of Arabic speakers. A critical review paper has analyzed previous research in this field, identifying problem areas and challenges faced by researchers.
Esraa El-Awadly +2 more
doaj +1 more source

