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Start Date

April 2021

Document Type

Oral Presentation

Department

Engineering

Faculty Mentor

Mustafa Guvench, PhD

Keywords

Biometric, app development, Arduino Nano 33, BLE

Abstract

The objective of this research project was to create a wearable device that monitors bodily functions for the user to view on their smartphone. Sensor data is processed using the Arduino Nano 33 BLE microcontroller. The sensors used in this project include proximity, temperature, humidity, heart rate, pressure, and skin impedance. This project takes advantage of the Arduinos Bluetooth low energy (BLE) capabilities so that all the data can be transmitted to a smartphone. This presentation examines the challenges of programming these devices, such as sensor timing, challenges related to heart rate processing, and Bluetooth transmission. Even though the device worked correctly, using two Arduinos to process the data doubles the power consumption. The signal processing may be improved upon by using a single device which contains two processing cores.

Comments

See also: poster session App Development for Wearable Sensors by Connor Pittman, Christopher Chappie, and Patrick Tetrault with an additional recording or an oral presentation by Pittman.

TM2021_Chappie-C_transcript.txt (10 kB)
Microprocessor Coding For Biometric Device - transcript

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Apr 30th, 12:00 AM

Microprocessor Coding For Biometric Device

The objective of this research project was to create a wearable device that monitors bodily functions for the user to view on their smartphone. Sensor data is processed using the Arduino Nano 33 BLE microcontroller. The sensors used in this project include proximity, temperature, humidity, heart rate, pressure, and skin impedance. This project takes advantage of the Arduinos Bluetooth low energy (BLE) capabilities so that all the data can be transmitted to a smartphone. This presentation examines the challenges of programming these devices, such as sensor timing, challenges related to heart rate processing, and Bluetooth transmission. Even though the device worked correctly, using two Arduinos to process the data doubles the power consumption. The signal processing may be improved upon by using a single device which contains two processing cores.

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