Five IEEE papers and two filed patents, spanning depression detection from multimodal signals to autonomous braking systems.
Listed newest first. Every entry links to its IEEE Xplore record.
International Conference on Applied Intelligence and Sustainable Computing
The research focused on developing a system that can detect depression by analyzing brain activity captured through EEG signals, utilizing an ensemble approach combining multiple algorithms.
IEEE 3rd International Conference on Intelligent Sustainable Systems
Developed a Road Conditions and Obstacles Indication System with camera sensors, processing unit, and indicating device for real-time road condition analysis.
IEEE Pune Section International Conference
Explored prediction of cardiovascular disease using ML techniques, focusing on BMI as a key feature in the prediction process.
IEEE International Conference for Innovation in Technology 2020, Bangalore
Designed smart glasses to assist individuals with monocular vision using CNN and YOLOv3 for depth perception and object recognition.
12th Intl. Conf. on Computing, Communication, and Networking Technologies
Comprehensive study on depression detection focusing on early identification through behavior, emotions, speech, and facial expression analysis.
IN 202021034153 · Filed Aug 10, 2020
Integration of camera module, processing unit, communication module, and display system for object localization, detection, and segmentation.
IN 202021009028 · Filed Mar 3, 2020
Architecture utilizing camera sensors, processing unit, and indicating device for detecting road conditions and obstacles using YOLOv4 and Single Shot Detection.
