Projects
Quotes Projects
Projects
Past projects
![](http://humansensing.cs.cmu.edu/sites/default/files/styles/image_publication/public/sm_mdiaries.jpg?itok=NhxVL3_R)
Summarization of daily activity from multimodal data (audio, video, body sensors and computer monitoring).
![](http://humansensing.cs.cmu.edu/sites/default/files/styles/image_publication/public/sm_ali.gif?itok=TxzTKNYD)
Temporal alignment of two or more subjects recorded from heterogeneous sensors is a challenging problem. This project develops statistical techniques for spatio-temporal alignment of multidimensional time series.
![](http://humansensing.cs.cmu.edu/sites/default/files/styles/image_publication/public/sm_temseg.jpg?itok=8FrbJq7Y)
Temporal Segmentation of Human Motion & Temporal Segmentation of Facial Behavior.
![](http://humansensing.cs.cmu.edu/sites/default/files/styles/image_publication/public/a5156_1440.jpg?itok=aEFEiGqX)
Learning facial indicators of deception.
![](http://humansensing.cs.cmu.edu/sites/default/files/styles/image_publication/public/sm_hotflash.jpg?itok=zX3v5BRk)
Machine learning algorithms to detect hot flashes in women using physiological measures.
![](http://humansensing.cs.cmu.edu/sites/default/files/styles/image_publication/public/sm_acl.jpg?itok=YvYk740x)
Use of machine learning techniques to predict the injury pattern of the Anterior Cruciate Ligament (ACL) using non-invasive methods.
![](http://humansensing.cs.cmu.edu/sites/default/files/styles/image_publication/public/sm_cameo.jpg?itok=8QnZqe1c)
We are developing the Camera Assisted Meeting Event Observer (CAMEO) - a sensory system designed to provide an electronic agent with physical awareness of the real world.
![](http://humansensing.cs.cmu.edu/sites/default/files/styles/image_publication/public/sm_IDA_project_pic.jpg?itok=gTVZXvli)
We are working to create an intelligent assistant to help patients and clinicians work together to manage diabetes at a personal and social level. This project uses machine learning to predict the effect that patient specific behaviors have on blood glucose.
![](http://humansensing.cs.cmu.edu/sites/default/files/styles/image_publication/public/sm_indoor.jpg?itok=QKIBfasn)
Tracking multiple people in indoor environments with the connectivity of Bluetooth devices.
![](http://humansensing.cs.cmu.edu/sites/default/files/styles/image_publication/public/sm_RadarLogo.gif?itok=JunEp4sM)
The focus of the RADAR project is to build a cognitive assistant that embodies machine learning technology that is able to function without requiring expert tuning or specially trained users.