Titlebook: Intelligent Human Computer Interaction; 8th International Co Anupam Basu,Sukhendu Das,Samit Bhattacharya Conference proceedings 2017 Spring

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A Voting-Based Sensor Fusion Approach for Human Presence Detectionor. A voting based approach has been used to classify signals obtained from human beings and non-human objects, thereby facilitating human presence detection. Results obtained from indoor experiments performed using this approach substantiate the viability of its use in real environments.

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Hands Up! To Assess Your Sustained Fitnessin many healthy persons too. To detect the amount of weakness in arm, we perform a simple test of lifting hand using a smart phone. With this approach, we can basically quantify the fitness of arm and routinely track whether the condition of the subject sustains or not.

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Classification of Indian Classical Dance Formsges must be separated. The resultant images are then converted to binary. Since it is a multiclass classification problem, SVM using one vs one approach as well as one vs all approach has been implemented and the results are contrasted with linear and RBF kernels for both the approaches.

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Study of Engineered Features and Learning Features in Machine Learning - A Case Study in Document Cleep autoencoder for learning features while engineering features are extracted by exploiting semantic association within the terms of the documents. Experimentally it has been observed that learning feature based classification always perform better than the proposed engineering feature based classifiers.

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Towards Learning to Handle Deviations Using User Preferences in a Human Robot Collaboration Scenariondle deviations in an assembly process, while taking different user preferences into consideration. In this way, the robotic system could both benefit from interaction with users by learning to handle deviations and operate in a fashion that is preferred by the user.

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