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Inertial and Bio-potential-based Wearable Computers: Algorithms and Applications

Title: Inertial and Bio-potential-based Wearable Computers: Algorithms and Applications

Speaker:  Professor Roozbeh Jafari

Date/Time:  Thursday, February 12, 2015, 11:00am to 12:00pm

Location:  Donald Bren Hall 4011

Host: Eli Bozorgzadeh


Wearable computers bring to fruition many new opportunities to continuously monitor human body with sensors placed on body; whether they are intended to detect an early onset of a disease, assess human performance or determine the effectiveness of a treatment. In the past few years, the community has observed a large number of applications leveraging wearable computers. There are, however, a number of fundamental challenges that need to be addressed before realizing the true ubiquitous use of the wearable computing systems.

In the first half of the talk, we highlight several inertial-based wearable applications including systems capable of monitoring activities of daily living (ADLs) and home exercises for senior citizen. We focus on a class of signal processing algorithms that provide extreme robustness leveraging accelerometers and gyroscopes. We present our results on ADLs and highlight our efforts in line with data dissemination for the scientific community. In the second half of the presentation, we focus on dry-contact electroencephalography (EEG). We present our brain-computer interface (BCI) system developed for intensive care units leveraging dry-contact EEG. We outline several components of EEG systems and focus on skin-electrode contact noise.

We provide techniques for noise reduction including contact reconfiguration along with experimental verifications. We provide concluding remarks on the trends of wearable computing technology development and future directions.