A) Building a single chip open source potentiostat: A inexpensive and versatile platform for teaching electroanalytical techniques
Low-cost and do-it-yourself style potentiostats are suitable tool to teach electrochemistry and instrumentation in an undergraduate laboratory setting. In this project, student will develop potentiostat from a Progammable System on a Chip (PSoC). To control the chip, a graphical user interface (GUI) will be developed in the python programming language. To demonstrate the PSoC potentiostat, student will design an experiment with developed potentiosat for undergraduate students to learn electroanalytical techniques. The potentiostat will be able to perform cyclic voltammetry, linear sweep voltammetry, and amperometry.
Skills: Python programming and microcontroller.
For more information, please see https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0201353
B) Design and development of a fitness Mobile application
COVID 19 has forced many people to turn to quarantine as a last resort to protect themselves from the deadly virus. Physical inactivity can lead to health problems in time. Obesity is already a very big health issue worldwide. In this hectic world, we are always so busy with our daily schedules, that we always forget to take care of ourselves. It is essential for us to maintain good posture while exercising, since incorrect posture can lead to accidents and injuries.
In this project, students will design and develop fitness application that runs on multiple platforms (chrome website, iOS or android). The features of this apps may include real time pose recognition, voice recognition which enable user to engage in conversation, specifically designed yoga playlist which are suited to the user’s health issues or user’s age.
Requirement: Strong self-directed learning capability, passion to learn new skills (programming such as flutter and dart).
For more information, please see
C) Design and Development of Graphical User Interface (GUI) for a Physiotherapists App
The process of regaining a person’s movement through physiotherapy typically takes time. The cost of visiting a physiotherapist every time can be expensive, and not everyone can afford to do that. Many patients are non-adherent to their physiotherapy recovery plans and some dropped out from their programs after a few visits to the rehabilitation centers. There is a need of an affordable and remote care solutions for patients at home. The solutions must benefit patients and physiotherapist.
In this project, students will design a physiotherapist mobile application. The project scopes include frontend development which is the User Interface (UI) Design, User Experience (UX) Design and the user interface coding.
Requirement: Strong self-directed learning capability, passion to learn new skills (programming such as flutter and dart).
For more information, please see
https://topflightapps.com/ideas/how-to-create-a-physiotherapy-app/
D) Posture Detection for Physical Therapy Application
Pose estimation is the task of using a Machine Learning model to estimate the pose of a person from an image or a video by estimating the spatial locations of key body joints. The pose estimation algorithm leverage advances in computer vision to track human movement from simple videos recorded using low-cost cameras. Pose estimation techniques have been used to measure a patient’s range of motion and movement during functional exercises and assess their progression towards as healthy range of motion. However, the use of pose estimation for enhancing human performance remains a challenging application.
In this project, students will develop a real-time posture detector using PoseNet for physiotherapy mobile application. You will collect data to train and optimize machine learning model to classify pose using Teachable machine. The end product will be a mobile app that can detect the pose of the subject’s body in real time from a video.
Requirement: Strong self-directed learning capability, passion to learn new skills (programming such as flutter and dart).
For more information, please see
https://teachablemachine.withgoogle.com/
https://www.flutterx.dev/yoga-app