Start Date

30-4-2021 12:00 AM

Document Type

Poster Session

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 Arduino's Bluetooth low energy (BLE) capabilities so that all the data can be transmitted to a smartphone. This presentation shows the challenges faced during the project and how they were overcome. Some of these challenges include: programming, how heart rate sensors work, and Bluetooth communication. An improvement that could be made to this research project is to have a single processor that can handle measuring heart rate along with all of the other measurements.

Comments

See the attached oral presentation of App Development for Wearable Sensors recorded by Connor Pittman below.

See also: oral presentation Microprocessor Coding For Biometric by Christopher Chappie and Connor Pittman.

TM2021_Pittman-C_(Source).mp4 (14016 kB)
App Development for Wearable Sensors - Connor Pittman recording

TM2021_Pittman-C_transcript.txt (5 kB)
App Development for Wearable Sensors - transcript

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Apr 30th, 12:00 AM

App Development for Wearable Sensors

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 Arduino's Bluetooth low energy (BLE) capabilities so that all the data can be transmitted to a smartphone. This presentation shows the challenges faced during the project and how they were overcome. Some of these challenges include: programming, how heart rate sensors work, and Bluetooth communication. An improvement that could be made to this research project is to have a single processor that can handle measuring heart rate along with all of the other measurements.

 

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