Results 31 to 40 of about 4,932 (258)
On Using Entropy for Enhancing Handwriting Preprocessing
Handwriting is an important modality for Human-Computer Interaction. For medical professionals, handwriting is (still) the preferred natural method of documentation. Handwriting recognition has long been a primary research area in Computer Science.
Bernhard Peischl +3 more
doaj +1 more source
Writer adaptation for E2E Arabic online handwriting recognition via adversarial multi task learning
The importance of online handwriting recognition has been rapidly increasing over recent years due to the rapid technological advances in handheld devices and communication software with handwriting interfaces.
Fakhraddin Alwajih +2 more
doaj +1 more source
Online Handwriting Recognition for Tamil [PDF]
A system for online recognition of handwritten Tamil characters is presented. A handwritten character is constructed by executing a sequence of strokes. A structure- or shape-based representation of a stroke is used in which a stroke is represented as a string of shape features.
K. H. Aparna +5 more
openaire +1 more source
A Review of Multilingual Handwriting Analysis Techniques in Forensic Science
Handwriting analysis is a crucial forensic tool used for identifying individuals, authenticating documents, and detecting forgeries in both civil and criminal investigations.
Ganti Skanda Priya +2 more
doaj +1 more source
Machine-Learning Methods for Speech and Handwriting Detection Using Neural Signals: A Review
Brain–Computer Interfaces (BCIs) have become increasingly popular in recent years due to their potential applications in diverse fields, ranging from the medical sector (people with motor and/or communication disabilities), cognitive training, gaming ...
Ovishake Sen +5 more
doaj +1 more source
1x1 Trainer with Handwriting Recognition
<p class="0abstract">Nowadays, computers and mobile devices play a huge role in our daily routines; they are used at work, for private purposes and even at school. Moreover, they are used as support for different kinds of activities and task, like for example, learning applications.
Michael Rabko, Martin Ebner
openaire +3 more sources
Motion-Based Handwriting Recognition
We attempt to overcome the restriction of requiring a writing surface for handwriting recognition. In this study, we design a prototype of a stylus equipped with motion sensor, and utilizes gyroscopic and acceleration sensor reading to perform written letter classification using various deep learning techniques such as CNN and RNNs.
Junshen Kevin Chen, Wanze Xie, Yutong He
openaire +2 more sources
Handwritten Digits Recognition From sEMG: Electrodes Location and Feature Selection
Despite hand gesture recognition is a widely investigated field, the design of myoelectric architectures for detecting finer motor task, like the handwriting, is less studied. However, writing tasks involving cognitive loads represent an important aspect
Andrea Tigrini +7 more
doaj +1 more source
Biomolecular condensates formed by fused in sarcoma (FUS) are dissolved by high ATP concentrations yet persist in cells. Using a reconstituted system, we demonstrate that valosin‐containing protein (VCP), an AAA+ ATPase, counteracts ATP‐driven dissolution of FUS condensates through its D2 ATPase activity.
Hitomi Kimura +2 more
wiley +1 more source
Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil +4 more
wiley +1 more source

