Published In : IJCSN Journal Volume 7, Issue 3

Date of Publication : June 2018

Pages : 146-157

Figures :20

Tables : 01

 

Sai Kailash : is a final year B.E student of Electronics and Communication department in BMS College of Engineering under Visvesvaraya Technological University, Belgaum (VTU). Currently he is interning as a Network Security Engineer in QoS Technology, Bangalore and will be pursuing a career in the Cyber Security domain.

Sai Karthik : is a final year B.E student of Electronics and Communication department in BMS College of Engineering under Visvesvaraya Technological University, Belgaum (VTU).

Purav M Shah : is a final year B.E student of Electronics and Communication department in BMS College of Engineering under Visvesvaraya Technological University, Belgaum (VTU).

B Madhukar : is a final year B.E student of Electronics and Communication department in BMS College of Engineering under Visvesvaraya Technological University, Belgaum (VTU). Currently he is interning as Network Security Engineer in QoS Technology, Bangalore and will be pursuing a career in the Cyber Security domain.

K. Vijaya : is working as an assistant professor under the Electronics and Communication department in BMS College of Engineering under Visvesvaraya Technological University, Belgaum (VTU).

 

Matlab, Kinect, Automation, Recognition

A Human Activity Recognition system which forms a part of the video surveillance system was designed and implemented. The recognition system was designed based on the Human skeletal features which were obtained using a Kinect sensor. The recognition system was developed as a software system which takes inputs from the Kinect sensor and delivers the detection result to an Automation system. The Automation system was designed as an automation system with four devices controlled for four different actions from the user. The system was successfully designed and implemented on Matlab along with the necessary hardware and software resources. The results showed that the devices were controlled from actions made by user. The system can be updated to recognize more number of actions in the future. The system can also be updated to work with 3-D images.

 

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