Other

Abhishek Biswas

Neil Shivraj Davey

Sonya R Davey

Kaustav Banerjee

Sanjay K Kunchakarra

Samir Devalaraja

Samudraneel Saha

Samudra Neel Saha

A method for training a convolutional neural network comprises sliding a first, a second and a third window in a predefined path simultaneously on each training image of a training data set, a binary image containing a highlighted region of interest of the each training image, and a labeled image containing a plurality of tags representing one or more features of interest of the each training image. A target matrix is obtained for each sample of the labeled image that lies within the highlighted region of interest. The target matrix is a probabilistic distribution of the plurality of tags that is based on a proportion of existence of a feature of interest represented by a tag in the each sample. The CNN is trained to recognize each sample to contain the proportion of the at least one feature of interest based on the target matrix of the each sample.

Pattern recognition by convolutional neural networks

The present disclosure generally relates to analysis and detection of human emotions, and more particularly, to a method and system for detection of human emotion based on an individual's typing behavior. In one embodiment, the method comprises of receiving typing data of the individual for a specified amount of time, processing the received data to extract hand speed and key-press duration for the individual and analyzing the hand speed and key-press duration to detect probable emotional states the individual has experienced for the specified amount of time.

Method and system for detecting emotions based on typing behaviour

A system relates to a first communication device configured to present data to and/or receive data from a health care practitioner; a second communication device configured to present data to and/or receive data from a patient; a processor configured to determine values of one or more metrics that characterize the patient's mental state based data received from the patient via the second communication device; a storage configured to store the metrics. Another system for providing tactile and/or electrical stimuli remotely, the system comprising a body-suit to be worn by a human, the body-suit comprising one or more actuators configured to convert electrical signals to tactile and/or stimuli, wherein the body-suit is configured to convey the tactile and/or electrical stimuli to a body part of the human.

Virtual communication platform for healthcare

A method of establishing a collaborative platform comprising performing a collaborative interactive session for a plurality of members, and analyzing affect and/or cognitive features of some or all of the plurality of members, wherein some or all of the plurality of members from different human interaction platforms interact via the collaborative platform, wherein the affect comprises an experience of feeling or emotion, and wherein the cognitive features comprise features in a cognitive state, the cognitive state comprising a state of an internal mental process.

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Kolkata, India

Abhishek Biswas