Project 8: Internet of Hospital Things (IoHT): Communication to Facilitate Healing REU Student: Kiran Pandit Graduate mentors: Myungho Lee, Kangsoo Kim,

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Presentation transcript:

Project 8: Internet of Hospital Things (IoHT): Communication to Facilitate Healing REU Student: Kiran Pandit Graduate mentors: Myungho Lee, Kangsoo Kim, Ryan Schubert Faculty Mentor(s): Dr. Greg Welch and Dr. Yier Jin Week 8 (July 11 – July 15, 2016) Accomplishments: Read patent “Room Identification Using Acoustic Features in a Recording” Read tutorial on MFCC (Mel Frequency Cepstral Coefficient) divides audio sample into frames, and calculates coefficients based on power spectrum of frame (mathematically modeled the way human hearing works) Used pyAudioAnalyzer to extract MFCCs and other features Collected lots of data student union and lab in partnership III

Project 8: Internet of Hospital Things (IoHT): Communication to Facilitate Healing REU Student: Kiran Pandit Graduate mentors: Myungho Lee, Kangsoo Kim, Ryan Schubert Faculty Mentor(s): Dr. Greg Welch and Dr. Yier Jin Week 8 (July 11 – July 15, 2016) Issues/problems encountered and solutions (if any): Wav files did not work with pyAudioAnalyzer Resolved: Headers were incompatible Tried to use microphone to sample at 44100 kHz and accidentally broke the photon Resolved: fixed the photon Decided to record high quality audio on phone Plans for next week: Collect more data (including outside) Recognizing signature tones

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