Samsung Electronics Co., Ltd.

Vikrant Singh

Shankar Mosur Venkatesan

Viswanath Veera

Pragya Paramita Sahu

Ankit Vijay

Paritosh Mittal

Afzal Shama Soudagar

Kunal Aggarwal

Himanshu Pandotra

Vishal Vatsalya

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

A method for providing gesture-based complete suggestions is provided. The method includes detecting at least one gesture performed by a user to complete an incomplete text provided by the user in an electronic device. Further, the method includes determining at least one remaining text to complete the incomplete text based on the at least one gesture and the incomplete text. Further, the method includes forming at least one complete text by adding the at least one remaining text to the incomplete text. Further, the method includes displaying the at least one complete text.

Method for automatically providing gesture-based auto-complete suggestions and electronic device thereof

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Bengaluru, India

Vikrant Singh