Samsung Electronics Co., Ltd.

Kunal Aggarwal

Shankar Mosur Venkatesan

Viswanath Veera

Vikrant Singh

Pragya Paramita Sahu

Afzal Shama Soudagar

Himanshu Pandotra

Vishal Vatsalya

Paritosh Mittal

The disclosure relates to a handwritten input-recognition method for an electronic-device. The method comprises: obtaining by the device, at least one first handwriting input representative of at least one object. A context of the at least one first handwriting input is determined based on referring a log of actions performed upon the device. Using a neural network, a positional significance of the at least one first handwriting input is analyzed in relation to the determined context. A description depicting location of the at least one object is generated based on the analyzed positional significance of the at least one first handwriting-input. A command in response to the generated scene description is generated to enable performance of an action, the command referring the location of the at least one object within the scene.

Method and system for handwritten input recognition

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Delhi, India

Kunal Aggarwal