Presentation Title
App Development for Wearable Sensors
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.
App Development for Wearable Sensors - Connor Pittman recording
TM2021_Pittman-C_transcript.txt (5 kB)
App Development for Wearable Sensors - transcript
Included in
Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons, Electrical and Electronics Commons, Software Engineering Commons
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.
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.