1552828

file

Visible to the public Data Representation and Modeling for Unleashing the Potential of Multi-Modal Wearable Sensing Systems

Submitted by Edgar Lobaton on Tue, 01/22/2019 - 4:36pm. Contributor:

The recent increase in the variety and usage of wearable sensing systems allows for the continuous monitoring of health and wellness of users. The output of these systems enable individuals to make changes to their personal routines in order to minimize exposures to pollutants and maintain healthy levels of exercise. Furthermore, medical practitioners are using these systems to monitor proper activity levels for rehabilitation purposes and to monitor threatening conditions such as heart arrhythmias.

biblio

Visible to the public {Action Classification from Motion Capture Data using Topological Data Analysis}

Submitted by el_wehby on Fri, 05/11/2018 - 11:59am
biblio

Visible to the public {Emotion Recognition with Facial Expressions and Physiological Signals}

Submitted by el_wehby on Fri, 05/11/2018 - 11:59am
biblio

Visible to the public { Energy-Efficient Activity Recognition via Multiple Time-Scale Analysis}

Submitted by el_wehby on Fri, 05/11/2018 - 11:59am
biblio

Visible to the public {Robust Trajectory-based Density Estimation for Geometric Structure Recovery}

Submitted by el_wehby on Fri, 05/11/2018 - 11:59am
file

Visible to the public CAREER: Data Representation and Modeling for Unleashing the Potential of Multi-Modal Wearable Sensing Systems

Submitted by Edgar Lobaton on Wed, 11/29/2017 - 4:20pm. Contributor:

The recent increase in the variety and usage of wearable sensing systems allows for the continuous monitoring of health and wellness of users. The output of these systems enable individuals to make changes to their personal routines in order to minimize exposures to pollutants and maintain healthy levels of exercise. Furthermore, medical practitioners are using these systems to monitor proper activity levels for rehabilitation purposes and to monitor threatening conditions such as heart arrhythmias.