Working in AIML dept of SNPSU, Bangalore, India as Professor has interest in academic and research work. Has published 6 Papers in IEEE, Springer and ELsevier publication
EDUCATION
BE in Instrumentation Technology
ME in Communication System
Ph.D
Patient assistance system in a super speciality hospital using a Kinect sensor camera P Jyothilakshmi, K R Rekha, K R Nataraj International Conference on Electrical Electronics and Optimization Techniques Iceeot 2016, 2016 Recent advancements in depth imaging sensors technologies have resulted in effective and inexpensive depth cameras which are actively used for 3D motion capture, surveillance systems human tracking, monitoring, user recognition systems and activity recognition. Tremendous developments have been carried out in communication and networking for the design of Smart Ward Systems used in Health Monitoring System. SWS empower hospital staff to focus more on patients by enabling the collection of data at the bedside and remove the need for duplication and double-handling. Uniquely, SWS has a rigorous evidence base to demonstrate reduced costs through improved patient safety. The proposed work is performed by detecting and recognizing the gesture obtained through the Kinect camera. Here, the training includes data collection and feature extraction. Secondly, the trained data is classified using K Nearest Neighbors, Support Vector Machines and Artificial Neural Networks methods. To adopt the best classifier this paper compares the accuracy of all the above techniques. Mode selection operation has been tested with three different classifiers and SVM is proven to be best out of them. The evaluation is done based on various performances metrics like classification effectiveness, accuracy and recognition rate.
A framework for human-machine interaction using Depthmap and compactness Jyothilakshmi P, K R Rekha, K R Nataraj 2015 International Conference on Emerging Research in Electronics Computer Science and Technology Icerect 2015, 2016 In recent past research and development in the field of Human-computer/machine interaction (HMI) is on fast track because there has been enough advancement of technologies such as advanced image processing techniques and sensors etc. which provides ease to formulate a test bed to experiment various HMI. A device called Kinect has been introduced for controlling functionalities of windows operating system, which is being widely used in Xbox games by Microsoft. This paper illustrates one of the popular HMI application called mouse control using hand gesture recognition. The method is named as hand-mouse (HM). HM tracks the full body vital core point and the movement of palm controls the movement of mouse cursor and the opening and closing of palm controls a mouse click events. The HM system is using Kinect in order to avoid wearing of any sensors or gesture training dataset, which reduces the computational overhead and experimental results demonstrates a real time output with satisfactory results having higher true positive and lesser false negative.
RECENT SCHOLAR PUBLICATIONS
Patient assistance system in a super speciality hospital using a Kinect sensor camera P Jyothilakshmi, KR Rekha, KR Nataraj 2016 International Conference on Electrical, Electronics, and Optimization … , 2016 2016 Citations: 3
A framework for human-machine interaction using Depthmap and compactness P Jyothilakshmi, KR Rekha, KR Nataraj 2015 International Conference on Emerging Research in Electronics, Computer … , 2015 2015 Citations: 3
MOST CITED SCHOLAR PUBLICATIONS
Patient assistance system in a super speciality hospital using a Kinect sensor camera P Jyothilakshmi, KR Rekha, KR Nataraj 2016 International Conference on Electrical, Electronics, and Optimization … , 2016 2016 Citations: 3
A framework for human-machine interaction using Depthmap and compactness P Jyothilakshmi, KR Rekha, KR Nataraj 2015 International Conference on Emerging Research in Electronics, Computer … , 2015 2015 Citations: 3
