| Project UID | CORE04 |
|---|---|
| Course |
EE 229: Signal Processing I OR EE 678: Wavelets OR EE 338: Digital Signal Processing |
| Project Department | Electrical Engineering |
| Title of Project | Contactless Biometrics |
| Name of Professor | Vikram M. Gadre |
| Year of Study Criteria | Both 2nd Year and 3rd Year UGs |
| Project Description | Working with the Unique Identification Authority of India (UIDAI), popularly known as Aadhaar, to move towards the use of the mobile phone as a universal authenticator, with physiological biometrics. Alternatively, you may see it more broadly, as a project on contactless biometrics, both for now and the future. This has several angles to it: innovative uses of the combination of signal processing and machine learning; cybersecurity for avoiding fraud; contactless biometric set-ups on a smaller scale for restricted establishments like the police and so on. We at IITB have a Memorandum of Understanding (MoU) with UIDAI for this purpose. |
| Concepts Required | Basic and advanced one-dimensional and two-dimensional signal processing concepts; Feature extraction from biometric images |
| Learning Outcomes | I would expect students to form small groups and work together to participate in a 'grand challenge' on biometrics likely to be announced by UIDAI |
| Expectations From Students | Sustained commitment to learn, execute, and work together as a 'mega-team', to ensure a superlative contribution from IIT Bombay in this national initiative. Students with only half-hearted interest need not apply. Students must all work in collaboration to explore many different dimensions of this initiative. |
| Things To Note | An orientation was held on Wednesday, 18 Oct 2023 evening to initiate interested students into the concepts required. Interested students may also kindly join the M S Team intended for this initiative and introduce themselves in the 'Introduction Channel', if they have not already done so. The Details of the M S Team are: Team Code: 7adv36i; Team Name: Biometrics Project Interest Group |
| Project UID | CORE04 |
|---|---|
| Course |
EE 229: Signal Processing I OR EE 678: Wavelets OR EE 338: Digital Signal Processing Any other course on Digital and Analog Circuits |
| Project Department | Electrical Engineering |
| Title of Project | Contactless Biometrics |
| Name of Professor | Vikram M. Gadre |
| Year of Study Criteria | Both 2nd Year and 3rd Year UGs |
| Project Description | Working with the indigenous Magnetic Resonance Imaging Project (IMRI) Project being executed with SAMEER (the Society for Microwave Engineering Applications and Research), located in the IIT Bombay campus itself, just past Hostels 1 and 16. There are many hardware, software, image, and signal processing challenges in that project, which happens to be a unique one of its kind, intended to bring MRI machines to the common man at a more affordable cost. There are several opportunities for students to contribute to that national project as well. I happen to be on the national level committee which 'steers' the project and am, therefore, aware of details and am in touch with the executives who are leading the project. The processing of the MRI images acquired will also employ combinations of signal/ image processing and machine learning/ deep learning. |
| Concepts Required | One-dimensional and multi-dimensional signal and image processing concepts, both basic and advanced, together with machine learning/ AI, and hardware expertise for some aspects of the project as applicable to Magnetic Resonance Imaging (MRI). |
| Expectations From Students | Students need to be committed and keen to contribute. It may take time to learn and contribute and the students are encouraged to work in teams of genuinely interested members to achieve this. |
| Things To Note | An orientation on this project was held, by inviting interested students to SAMEER for lunch with the Technical Research and Advisory Committee (TRAC) on Friday, 20 October 2023. Interested students may kindly join the M S Team for this initiative, with Team Code: npkbw5g; Team Name: Indigenous MRI Project Interest Group, and introduce themselves in the 'Introduction Channel' of that team, if not already done. |
| Description | Impairment of gait (walking) is a major problem in many neurodegenerative disorders such as Parkinson's disease and Huntington's disease, resulting in functional dependence and poor quality of life. Rehabilitation involving gait training is one of the primary approaches to treatment in such cases. Whilst there are several common features underlying impaired gait across different diseases, disease-specific gait characteristics often remain unmasked. For better differential diagnosis, prognosis, as well as for optimal delivery of rehabilitation, it is important to understand disease-specific determinants of impaired/pathological gait. The project will focus on developing statistical models to understand the unique determinants of impaired gait across common neurodegenerative disorders. |
|---|---|
| Number of students | 1 |
| Year of study | Students in their 2nd year (Semester 3), Students in their 3rd year (Semester 5), Students in their 4th/5th year (Semester 7/9) |
| CPI | 8.5 and above |
| Prerequisites | Strong background in mathematics is essential. Some coursework/knowledge in statistics would be desirable. |
| Duration | Minimum: one full semester. The project may continue beyond a semester if interest and commitment persist. |
| Learning outcome | 1) Gaining first-hand experience of application of mathematical and engineering analytical knowledge in solving biomedical/health related problems. 2) Exposure to advanced data analysis and statistical modelling. 3) Understanding of human gait control from a neuroscience and biomechanics perspective and clinical problems therein. |
| Weekly time commitment | 5 to 10 hours per week |
| General expectations | - |
| Assignment |
1) Textbook: Gait Analysis: Normal and Pathological Function
by Jacquelin Perry (Chapters 1-3) https://www.bio.iitb.ac.in/~ranjith/ 2)Review Paper 1 Review Paper 2 Review Paper 3 |
| Instructions for assignment | Students are expected to read at least 1 review paper (reading all 3 would be great; textbook chapters are to help gain basic understanding of terminology and concepts), gain a preliminary understanding of the topic(s) discussed in these papers, and briefly summarize their takeaways and how this background relates to the project topic. |
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