Jayavardhana Gubbi

ORCID: 0000-0001-5833-1898
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About
Contact & Profiles
Research Areas
  • EEG and Brain-Computer Interfaces
  • Video Surveillance and Tracking Methods
  • Anomaly Detection Techniques and Applications
  • Human Pose and Action Recognition
  • Medical Imaging Techniques and Applications
  • Energy Efficient Wireless Sensor Networks
  • Advanced Neural Network Applications
  • Protein Structure and Dynamics
  • Image Enhancement Techniques
  • Advanced Image and Video Retrieval Techniques
  • Advanced Vision and Imaging
  • Video Analysis and Summarization
  • Machine Learning in Bioinformatics
  • Radiomics and Machine Learning in Medical Imaging
  • Fire Detection and Safety Systems
  • Generative Adversarial Networks and Image Synthesis
  • Non-Invasive Vital Sign Monitoring
  • IoT and Edge/Fog Computing
  • Remote-Sensing Image Classification
  • Heart Rate Variability and Autonomic Control
  • Epilepsy research and treatment
  • Advanced MRI Techniques and Applications
  • Neuroscience and Neural Engineering
  • Time Series Analysis and Forecasting
  • Enzyme Structure and Function

Tata Consultancy Services (India)
2016-2025

Embedded Systems (United States)
2018-2022

Centre for Artificial Intelligence and Robotics
2020

The University of Melbourne
2007-2016

Increasing population density in urban centers demands adequate provision of services and infrastructure to meet the needs city inhabitants, encompassing residents, workers, visitors. The utilization information communications technologies achieve this objective presents an opportunity for development smart cities, where management citizens are given access a wealth real-time about environment upon which base decisions, actions, future planning. This paper framework realization cities...

10.1109/jiot.2013.2296516 article EN IEEE Internet of Things Journal 2014-01-31

Poincaré plot is one of the important techniques used for visually representing heart rate variability. It valuable due to its ability display nonlinear aspects data sequence. However, problem lies in capturing temporal information quantitatively. The standard descriptors quantifying (SD1, SD2) measure gross variability time series data. Determination advanced methods properties pose a significant challenge. In this paper, we propose novel descriptor "Complex Correlation Measure (CCM)"...

10.1186/1475-925x-8-17 article EN cc-by BioMedical Engineering OnLine 2009-01-01

Obstructive sleep apnea or hypopnea causes a pause reduction in airflow with continuous breathing effort. The aim of this study is to identify individual and events from normal using wavelet-based features 5-s ECG signals (sampling rate = 250 Hz) estimate the surrogate index (AI)/hypopnea (HI) (AHI). Total 82,535 epochs (each duration) during sleep, 1638 689 events, 3151 1862 were collected 17 patients training set. Two-staged feedforward neural network model was trained...

10.1109/titb.2009.2031639 article EN IEEE Transactions on Information Technology in Biomedicine 2009-09-24

The emerging Internet of Things (IoT) that effectively integrates cyber-physical space to create smart environments will undoubtedly have a plethora applications in the near future. Meanwhile, it is also key technological enabler cities, which provide great benefits our society. In this paper, four different IoT network architectures spanning various city are presented and their corresponding Quality Service (QoS) requirements defined. Furthermore, as beneficiary city, we responsibility...

10.1109/iscit.2012.6381043 article EN 2012-10-01

Good water quality is essential for the health of our aquatic ecosystems. Continuous monitoring an important tool catchment management authorities, providing real-time data environmental protection and tracking pollution sources; however, continuous at high temporal spatial resolution remains prohibitively expensive. An affordable wireless system will enable cost-effective collection, assisting managers to maintain In this paper, a low-cost physiochemistry sensing presented. The results...

10.1109/icacci.2013.6637139 article EN 2013-08-01

Real-time environment monitoring and analysis is an important research area of Internet Things (IoT). Understanding the behavior complex ecosystem requires detailed observations over a range different conditions. One such example in urban areas includes study tree canopy cover microclimate using heterogeneous sensor data. There are several challenges that need to be addressed, as obtaining reliable area, detecting unusual events from data, visualizing real-time way easily understandable by...

10.1109/jiot.2017.2731875 article EN IEEE Internet of Things Journal 2017-07-25

Infrastructure detection and monitoring is a difficult task. Due to the advances in unmanned vehicles image analytics, it possible decrease human effort achieve consistent results infrastructure assessments using aerial processing. Reliable integrity checking of power including conductor lines, pylons insulators diverse background most challenging task drone based automatic monitoring. Most techniques literature use first principle approach that tries represent as features interest. This...

10.1109/ijcnn.2017.7966053 article EN 2022 International Joint Conference on Neural Networks (IJCNN) 2017-05-01

Analyzing crowd events in a video is key to understanding the behavioral characteristics of people (humans). Detecting videos challenging because articulated human movements and occlusions. The aim this paper detect probabilistic framework for automatically interpreting visual behavior. In paper, event detection classification optical flow manifolds (OFMs) are addressed. A new algorithm walking running has been proposed, which uses vector lengths OFMs. Furthermore, merging splitting...

10.1109/tcyb.2015.2451136 article EN IEEE Transactions on Cybernetics 2015-07-23

10.1109/icassp49660.2025.10887867 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025-03-12

This paper presents a lip reading technique to classify the discrete utterances without evaluating acoustic signals. The reported analysis video data of motions by computing optical flow (OF). statistical properties vertical OF component were used form feature vectors for training support vector machines (SVM) classifier. impact variation in speed/velocity speaking on performance system was minimized removing zero energy frames and normalizing number interpolation. resulting is an efficient...

10.1109/cisp.2010.5646264 article EN 2010 3rd International Congress on Image and Signal Processing 2010-10-01

Summary Purpose A definite diagnosis of psychogenic nonepileptic seizures ( PNES ) usually requires in‐patient video–electroencephalography EEG monitoring. Previous research has shown that convulsive demonstrate a characteristic pattern rhythmic movement artifact on the . Herein we sought to examine potential for time‐frequency mapping data from movement‐recording device (accelerometer) worn wrist as diagnostic tool differentiate between epileptic and Methods Time‐frequency was performed...

10.1111/epi.12207 article EN Epilepsia 2013-05-03

The asymmetry in heart rate variability is a visibly obvious phenomenon the Poincaré plot of normal sinus rhythm. It shows unevenness distribution points above and below line identity, which indicates instantaneous changes beat to rate. major limitation existing definition that it considers only rather than pattern (increase/decrease). In this paper, novel proposed considering geometry 2D plot. Based on definition, traditional indices—Guzik's index (GI), Porta's (PI) Ehlers' (EI)—have been...

10.1088/0967-3334/30/11/007 article EN Physiological Measurement 2009-10-08

Epilepsy is one of the most common neurological disorders and patients suffer from unprovoked seizures. In contrast, psychogenic nonepileptic seizures (PNES) are another class that involuntary events not caused by abnormal electrical discharges but a manifestation psychological distress. The similarity these two types poses diagnostic challenges often leads in delayed diagnosis PNES. Further, PNES involves high-cost hospital admission monitoring using video-electroencephalogram machines. A...

10.1109/jbhi.2015.2446539 article EN IEEE Journal of Biomedical and Health Informatics 2015-06-17

The growth in pervasive network infrastructure called the Internet of Things (IoT) enables a wide range physical objects and environments to be monitored fine spatial temporal detail. detailed, dynamic data that are collected large quantities from sensor devices provide basis for variety applications. Automatic interpretation these evolving is required timely detection interesting events. This article develops exemplifies two new relatives visual assessment tendency (VAT) improved (iVAT)...

10.1145/2997656 article EN ACM Transactions on Knowledge Discovery from Data 2016-12-03

Abstract Background Stroke is one of the major causes morbidity and mortality. Its recovery treatment depends on close clinical monitoring by a clinician especially during first few hours after onset stroke. Patients who do not exhibit early motor post thrombolysis may benefit from more aggressive treatment. Method A novel approach for stroke using wireless accelerometer based activity system developed. It monitors measuring acceleration arms in three axes. In presented proof concept study,...

10.1186/1475-925x-12-33 article EN cc-by BioMedical Engineering OnLine 2013-04-16

Ubiquitous sensing enabled by Wireless Sensor Network (WSN) technologies cuts across many areas of modern day living. This offers the ability to measure, infer and understand environmental indicators, from delicate ecologies natural resources urban environments. The proliferation these devices in a communicating-actuating network creates Internet Things (IoT), wherein, sensors actuators blend seamlessly with environment around us, information is shared platforms order develop common...

10.48550/arxiv.1207.0203 preprint EN other-oa arXiv (Cornell University) 2012-01-01

The use of drones in infrastructure monitoring aims at decreasing the human effort and achieving consistency. Accurate aerial image analysis is key block to achieve same. Reliable detection integrity checking power line conductors a diverse background are most challenging drone based automatic monitoring. Most techniques literature first principle approach that tries represent as features interest. This paper proposes machine learning for detection. A new deep architecture proposed with very...

10.23919/mva.2017.7986837 article EN 2017-05-01

Vision is one of the most advanced and important sensory input in humans. However, many people have vision problems due to birth defects, uncorrected errors, work nature, accidents, aging. The white cane guide dog are widely used means navigation for vision-impaired. With advancements technology, electronic devices been created using different sensors technologies help navigate blind. Electronic Travel Aids (ETAs) assist navigating a person by collecting information about environment...

10.1109/icc.2016.7510832 article EN 2016-05-01

Internet of Things (IoT) is denned as interconnection sensing and actuating devices providing the ability to share information across platforms through a unified framework, developing common operating picture for enabling innovative applications. As world urban population set cross unprecedented levels, adequate provision services infrastructure poses huge challenges. The emerging IoT that offers ubiquitous actuation can be utilized effectively managing environments. In this paper, new...

10.1109/icacci.2013.6637321 article EN 2013-08-01
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