A5073368014- Context-Aware Activity Recognition Systems
- Machine Learning in Healthcare
- Advanced Chemical Sensor Technologies
- Biosensors and Analytical Detection
- Electrochemical sensors and biosensors
- Human Mobility and Location-Based Analysis
- Indoor and Outdoor Localization Technologies
- Radiomics and Machine Learning in Medical Imaging
- AI in cancer detection
National Institute of Pharmaceutical Education and Research
2025
Samsung (India)
2016
Using a laser-scribed (direct printing) technique, we have fabricated an enzymeless, mediatorless, and paper-interfaced electrochemical device (P-LSG) for uric acid detection on flexible polyimide sheet. Various paper substrates were investigated, it was found that Whatman filter paper-1 is promising to obtain the best signals at small volume of electrolyte, i.e., 20 μL. Furthermore, modified with gold nanoparticles (AuNPs) improve electrocatalytic activity P-LSG device. The AuNP-modified...
Currently available pedometer applications on smartphones use either accelerometer or gyroscope sensors to calculate the number of steps walked. The main challenge with such individual sensor based approaches is that accuracy can be impaired due overlap in patterns when phone held different modes, namely, hand (with and without swinging) shirt pocket pant pocket. This paper proposes a novel approach implementation by combining both sensors. By these two deriving features from raw data,...