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Facial Recognition Accuracy

• Graph shows facial recognition accuracy vs. number of face images in database per user.
• Demonstrates that goal of 80% accuracy is achievable with 4 face images for each user, 10 are used in final product.
• Need to balance desire for accuracy vs. time needed to retrain the recognition software.

Wireless Trilateralization

• Graph shows error distance vs. time for a typical configuration.
• Error begins at goal of +/- 2 meter accuracy, improves over time as buffers accumulate data.
• Low pass filter used to reduce noise, need to fill averaging window for best accuracy.

Transmission Rate

• Graph shows time since last transmission vs. total time for an idle Android smartphone.
• Wanted to determine worst-case update frequency for the typical user carrying an idle smartphone.
• Results show that we can expect a new transmission, and therefore a position update, at least every 10 seconds even from an idle phone.