Human Centered Computing Group

Department of Information Technology

National Institute of Technology Karnataka, Surathkal


Human Centered Computing Group (HCCG) focuses on the recent trends in human centered computing. HCCG primarily focuses on four broad areas:

  • Affective computing (AC)

    Affective Computing research combines engineering and computer science with psychology, cognitive science, neuroscience, sociology, education, psychophysiology, value-centered design, ethics, and more.

  • Human Computer Interaction (HCI)

    Human–computer interaction (HCI) researches the design and use of computer technology, focusing particularly on the interfaces between people (users) and computers.

  • Multimedia systems (MS)

    Multimedia refers to content that uses a combination of different content forms. A Multimedia System is a system capable of processing multimedia data and applications. It is characterised by the processing, storage, generation, manipulation and rendition of Multimedia information.

  • Social Computing (SC)

    Social computing is an area of computer science that is concerned with the intersection of social behaviour and computational systems.

Over the last five years lots of quality projects have been done using tools such as Microsoft Kinect Xbox One, Wiimote, Arduino, Leap Motion, 2D and 3D Camcorder, Faceshift etc.


To design technologies which are useful,simple and accessible.


TEQIP-II Sponsored 3 Day Workshop on

Human centered computing tools and applications

25th - 27th June 2015


Professor Ram Mohana Reddy Guddeti

Head of Department

Department of Information Technology, NITK

Project Areas

Affective Computing

Amol Kokane: Emotion Recognition Using Selective Speech Features
Prashant Jha: Human Behaviour Analysis Using Emotional Features
Vivek T V: Multi-modal Emotion Recognition in Collaborative Environment
Anantha K S: Human Facial Expression Recognition
Dhananjay Kamble, Manbendra Singh, Shubham Jain, Somanshu Singh: Emotion Detection Using Bio-Inspired Machine Learning Techniques
P Ashrith, Pradeep Kumar Bansal, Chandni Dutta: Parellelized Automated System for Human Emotion Detection Using Facial Recognition using Active Shape Model

Human Computer Interaction

Dere Kundan Shivajirao: 3D object geometry aware projection for wearable computers using Depth Sensor
Pawar Manojkumar Hanumantrao: 3D Modeling of indoor environment using Depth Sensor Camera
Sundeep V: Human Avatar Emotion Recognition using Faceshift and Kinect
Hitesh Singhal, Amol Kokane, Prashant Jha, Priyank Rastogi Ravi Mittal: Learner Centered Design Approach for E-Learning using 3D Virtual Tutors
C Mahesh: Real Time Indian Sign Language based Hand Gesture Spotting and Recognization system using depth camera
Isha Singh Jassi, Ruchika S, Susmitha Pulakhandam: E-WAT: Ember Web Accessibility Tool to Improve Webpage Accessibility for Visually Impaired Users

Multimedia Systems Development

Megha P Arakeri: Developement of CAD System for Detection, Classification, Retrieval and 3D Reconstruction of Brain and Liver Tumours on MRI and CT Images
Roopa Lakshmi: Content Based Video Copy Detection, Tracking and Identification of Movie Pirates
Alwyn R P: Generation of Super Resolution Video Object Plans
Subhayan Mukherjee: A Novel Segmentation-Based Algorithm for Stereo Depth Extraction Using Sparse Disparity Estimates
Akash Gurudattha Ban: Parallel Implementation of Iris Recognition System
Dessai Vidhya Shripad: 3D Reconstruction of Brain Tumour from MRI Images
Arpitha M D: Content Based Image Retrieval for Brain MRI Images

Social Multi-media Computing

Anjariya Malhar Sunil: Efficient Prediction of Events using Social Network Data with Novel Sentiment Analysis
Monisha Kanakaraj: Novel Sentiment Analysis of Social Networks using Deep Networks
Anurag Jaiswal: Retrieving Profile Links on Twitter for Suspicious User Detection
Kotagiri Sahitya, MattaSreeMourya, Nachiketh Prabhakar: Song Suggestion System Based On Social Network Data
Bharath Kumar S, Harish Takle, Kavita, Surabhi Kanaujia: Improving Research Paper Searching with the Social Tagging and Social Network Analysis
Bharath Byndoor, Mithun M, Novi Kapoor, Priyanka Barde: Design and Evaluation of Web User Content Using a Novel Sentimental Analysis





Research Head

G. Ram Mohana Reddy

Professor, Department of Information Technology
Chairman, Central Computer Center
National Institute of Technology Karnataka, Surathkal

Ashwin Sir

Research Scholars

Ashwin T S

Department of Information Technology,
National Institute of Technology Karnataka, Surathkal



Department of Information Technology
National Institute of Technology Karnataka, Surathkal
P.O. Srinivasnagar
Mangalore-575 025
Karnataka, India.

+91 (0824) 2473551

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