SmartSense:AI-Driven Low-Cost Wearable for Real-Time Symptom Detection and Risk Estimation
Publicerad
Typ
Examensarbete på kandidatnivå
Bachelor Thesis
Bachelor Thesis
Program
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
Asthma is a chronic respiratory condition that demands continuous symptom monitoring
to prevent severe health complications. This project aims to create Smart-
Sense, a low-cost, wearable prototype designed to detect early symptoms of asthma
using real-time physiological monitoring. The device integrates a conductive rubber
band to track chest expansion and a digital microphone for cough detection. A
microcontroller samples the sensor data, performs onboard signal processing using
FFT for breathing analysis, and applies a quantized neural network model for AIbased
cough classification. Processed data is transmitted to a companion mobile
application via BLE, enabling real-time visualization, alerts, and symptom tracking.
Emphasis is placed on local data processing and energy efficiency to support
extended autonomous operation. Testing showed promising results in detecting
respiratory patterns and classifying cough events, although challenges such as background
noise sensitivity and sensor nonlinearity remain. SmartSense demonstrates
the feasibility of affordable, embedded AI in wearable health technologies and lays
the groundwork for future clinical validation and commercial development.
Beskrivning
Ämne/nyckelord
wearable technology, asthma management, symptom detection, artificial intelligence, bluetooth low energy, mobile application, real time monitoring, health risk