We believe that "earables" is the next significant milestone in wearable computing. With sensing, signal processing, and communications converging into these devices, we envision a host of new possibilities within the next 5 years. The leap from today’s ear-phones to "earables" would mimmic the transformation from basic-phones to smart phones. Today’s smartphones are hardly a calling device anymore, much like how tomorrow’s earables will hardly be a wireless speaker or microphone (see our vision slides here).
MUTE: Bringing IoT to Noise Cancellation
Short Video
Full Talk
ACM SIGCOMM'18, August 2018.
MUTE exploits the velocity gap between RF and sound to improve active noise cancellation.
Ear-AR: Indoor Acoustic Augmented Reality on Earphones
Short Video
Full Talk
ACM MobiCom'20, September 2020.
Ear-AR enables indoor acoustic augmented reality on smart earphones, by using a fusion of ear IMU, phone IMU, and acoustics to do better indoor localization.
EarSense: Earphones as a Teeth Activity Sensor
Short Video
Full Talk
ACM MobiCom'20, September 2020.
EarSense exploits reusing COTS earphone speakers as microphone to sense and localize a set of gestures made by teeth.
Voice Localization Using Nearby Wall Reflections
Short Video
Full Talk
ACM MobiCom'20, September 2020.
VoLoc shows the feasibility of inferring indoor user location from acoustic signals, for smart voice assistants like Amazon Alexa and Google Home.
STEAR: Robust Step Counting from Earables
ACM Earcomp (Workshop with Ubicomp'19), September 2019.
STEAR identifies smart earphone IMU as a much better sensor compared with phone or watch IMU to do step counting due to the much cleaner IMU signals on the ears.
Coming soon...
Zhijian Yang
PhD Student
Dept. of CS
Yu-Lin (Wally) Wei
PhD Student
Dept. of ECE
Ziyue (Liz) Li
MS/PhD Student
Dept. of ECE
Jay Prakash
Visiting Scholar
SUTD, Singapore
Sheng Shen
Alumni, ECE PhD 2019
Facebook Reality Labs
Romit Roy Choudhury
Professor
Dept. of ECE & CS
We are looking for PhD students with background in sensing, (acoustic) signal processing, communications, embedded systems, and machine learning.