Back close

Automating Anxiety Detection using Respiratory Signal Analysis

School: School of Engineering, Coimbatore

Automating Anxiety Detection using Respiratory Signal Analysis

Anxiety is an emotional disorder which can cause fear, nervousness and worry in individuals. In this work, we explored the development of an anxiety detection (AnD) system using the respiratory signal as its input.

Related Projects

Analysis of Seepage Induced Soil Mass Movements and Stabilization using Vertical Sand Drains
Analysis of Seepage Induced Soil Mass Movements and Stabilization using Vertical Sand Drains
Development of Particle Reinforced Aluminium Metal Matrix Composites for Slurry Erosive Wear Resistance- Naval Applications
Development of Particle Reinforced Aluminium Metal Matrix Composites for Slurry Erosive Wear Resistance- Naval Applications
Online Testing of IC Engines
Online Testing of IC Engines
Experimental and Numerical Investigation of flame stabilization in porous media burner for hydrocarbon-hydrogen fuels
Experimental and Numerical Investigation of flame stabilization in porous media burner for hydrocarbon-hydrogen fuels
Development and Prototyping of ICT enabled Smart Charging Network Components
Development and Prototyping of ICT enabled Smart Charging Network Components
Admissions Apply Now