Back close

Wearable Temperature System

Principal Investigator: Deepthi Rajamohanan (Research Assistant), Dr. Radhagayathri K. U. (Associate Professor), Dr. Jayakumar O. D. (Professor)

Wearable Temperature System

A wearable temperature system was envisaged at the peak outbreak of COVID’19. This was mainly intended to protect the healthcare workers from being exposed to this deadly disease by making remote monitoring of the temperature for the affected patients.

We are developing a wearable temperature system which has been converted to a two-phase process.

Phase 1: An initial prototype of a wearable temperature system was developed and tested. While the system showed promise, accuracy limitations were identified. We winded up the first phase with prototypes developed using MAX30205 contact sensors. Its accuracy range was 0.4+/-0.3, which did not meet the ASTM standards.

Phase 2: To address these accuracy concerns, a set of new sensors were incorporated. This second phase is currently undergoing testing, with the aim of achieving significantly improved temperature measurement precision. First level of testing the sensors has been completed showcasing promising results for a wearable temperature system. Further tests are in progress.

Proposed Future Work Details

  • After finalisation of the temperature sensor by testing and validation, a wrist based prototype is expected
  • Third phase will be integration of this sensor to a flexible platform.

Related Projects

E-Governance Accessibility for the Deaf (Sign Language Recognition) 
E-Governance Accessibility for the Deaf (Sign Language Recognition) 
Synthesis of Nanostructured Transition Metal Oxide Thin Film Coatings on Steel Substrates by Dip Coating for Corrosion and Wear Resistance Applications
Synthesis of Nanostructured Transition Metal Oxide Thin Film Coatings on Steel Substrates by Dip Coating for Corrosion and Wear Resistance Applications
Isolation and Characterization of Host Binding Proteins from Bacillus Clausii and Staphylococcus Aureus Using Mass Spectrometry-a Proteomic Approach
Isolation and Characterization of Host Binding Proteins from Bacillus Clausii and Staphylococcus Aureus Using Mass Spectrometry-a Proteomic Approach
Quorum Sensing and Biofilm Formation in Microbial Pathogenesis
Quorum Sensing and Biofilm Formation in Microbial Pathogenesis
Decoding of Turbo Product Codes using Deep Learning Technique
Decoding of Turbo Product Codes using Deep Learning Technique
Admissions Apply Now