What did you personally accomplish this week on the project?
- During the interim demo, I demonstrated the radar subsystem collecting range-doppler data in real time.
- Together with Linsey and Ayesha, we collected and labeled radar data consisting of indoor scenes with or without humans in different orientations at different positions in different poses (standing, sitting, lying on ground) performing different tasks (hand waving, jumping, deep breathing). In total, we collected 25 ten-second long scenes at a rate of four frames per second, leaving us with 1000 labeled scenes.
- Ayesha and I started integrating the GPS and IMU data with the Raspberry Pi by writing and testing socket code for the Raspberry Pi to send and the web app to receive data over WiFi.
Is your progress on schedule or behind? If you are behind, what actions will be
taken to catch up to the project schedule?
Progress is on schedule, according to the updated schedule presented at the interim demo.
What deliverables do you hope to complete in the next week?
- Integrate web app with radar, location, and temperature data and conduct corresponding integration tests for latency, data rate, etc.
- Train neural network on our own dataset
- Continue exploring radar preprocessing such as denoising and mitigation of multipath returns
What tests have you run and are planning to run?
- Radar subsystem testing: The radar meets our use case requirements, being able to clearly register a human with moving arms from within 5 meters. The radar is able to do so even when the human is obstructed by glass and plastic or partially obstructed by metal chairs. However, it would be good for us to collect more radar data of moving non-human objects to test how well the radar can specifically distinguish humans from non-humans, measured by its accuracy and F1 score.
- Integration testing: The radar and GPS modules are able to stream data directly to the Raspberry Pi via UART at 4 frames per second. To meet the use case requirements, the web app must be able to receive all that data at the same rate via WiFi within 3 seconds of collection. This metric will be tested after the server is written to receive data from our system.
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