Wearable Detection Device for UV And Polluted Air Exposure
There is another outdoors component that impairs people’s health, air pollution, which is more serious in industry area. The noisome components in the air, including PM2.5, would impair the health of people’s respiration system, especially for outdoors sports. Thus, for the sake of their respiration health, people should be noticed that they have been inhaled so much noisome air that they should find for fresh air.
After some research, we have found some products in the contemporary market. For UV detection and alarm, there is currently a wristband called Sunfriend, which can inform people of how much UV they have been exposed to and. The device is integrated with wireless charging system. However, there is not wireless communication with phones or PCs, which means the data cannot be recorded and displayed. For the air detection, currently devices (including a new device called Tzoa which is really functional and powerful, but limited by the weight, power source and high cost.) are too big or heavy to be wearable. In terms of the air detection, there is no wearable device.
The primary idea of data analysis and display is to use smartphone app or PC. After creating an interface on the phone or PC, which communicates with the device through WiFi or Bluetooth, data can be integrated and deeply analyzed on phones and PC instead of the microcontroller.
Research on the human’s medical tolerance to UV and air pollution is planned to go on. Medical research papers can provide adequate data for mathematic model. Mathematic model can be built with Matlab or Mathematica on the reference to related medical research papers so that the alarm system can be scientific.
Name: Jieneng Yang
Name: Ruihong Wang
Initial Project Information
Field of Interest
Sensor plays very important role in robotics, plant automation, health monitoring systems, consumer electronics (cell phones, gaming platforms), etc. To develop an application it is very important to understand sensor parameters to design a control or monitoring system. Some examples for the sensors that are broadly used in industries are inertial, pressure, temperature, gas, humidity, IR, PIR, Laser, Ultrasonic, etc.
The topic will give engineering design teams (5 students per team) an opportunity to propose a sensor-based solutions to real-world problems. The students will develop a hands-on project for three quarters, develop a prototype, record a presentation, and present results at the IEEE Virtual Conference on Applications of Commercial Sensors (VCACS). The project and presentations at this conference describe the problems being addressed and explain the designs and fabrication of prototype solutions. The designs, schematics, microprocessor code, CAD files, etc., for the prototypes will be made available for public, virtually to anybody who is interested in reproducing and/or extending the functionality of the proposed solutions. The goal of this project is to create a community of “makers” who share information with each other in an environment in which the information being shared has been peer-reviewed by the IEEE. See details and examples at http://2016.ieee-vcacs.org
Maximum Number of Students
15 (3 teams with 5 students per team)
See Notes Below
email advisor (for now)
Notes: The activity is encouraged and partially funded by the IEEE Sensors Council. Some companies, the manufacturers of sensors platforms, might be sponsoring the activity. The students are expected to submit the results of their projects to the IEEE VCACS: (1) 15-minute video describing the project, (2) paper manuscript – IEEE journal style two-column layout, (3) Ancillary files: A zip file with PPT slides, computer codes, circuit layouts, parts list, CAD files, etc. (all the details will be provided). The results of accepted papers will be published in the IEEE Xplore. The project may result in submission to the IEEE Sensors for the Best Student Paper Competition.
Some sample projects from VCACS 2015:
(1) Pulse band: A Hands-on Tutorial on How to Design a Smart Wristband to Monitor Heart-Rate
(2) A Low-Power Wearable Substance Monitoring Device
(3) Design and Characterization of Breath Analysis System for BAC Prediction
(4) Heart Arrhythmia Detection
(5) Implementation and Use of the Electrooculogram in Sleep Monitoring
(6) Low Cost Spectrometer Accessory for Cell Phone Based Optical Sensor
(7)Textile Sensor System for Electrocardiogram Monitoring
(8) Wearable SpO2 and Sleep Posture Monitoring System for Obstructive Sleep Apnea Patients
(9) Wireless Instrumented Walker for Remote Rehabilitation Monitoring
(10) ‘sHaKe_n_SCALE’: A Measurement System of Motor Characteristics of Parkinson’s Disease