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Fernando De la Torre Frade
Associate Research Professor, RI
Email:
Office: EDSH 211
Phone: (412) 268-4706
  Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213
Administrative Assistant: Peggy A. Martin
Affiliated Center(s):
 Quality of Life Technology Center (QoLT)
Personal Homepage

Current Projects [Past Projects]
 
Deception Detection
Learning facial indicators of deception
Depression Assessment
This project aims to compute quantitative behavioral measures related to depression severity from facial expression, body gestures, and vocal prosody in clinical interviews.
Face Recognition
Recognizing people from images and videos.
Facial Expression Analysis
Automatic facial expression encoding, extraction and recognition, and expression intensity estimation for the applications of MPEG4 application: teleconferencing, human-computer interaction/interface.
Facial Feature Detection
Detecting facial features in images.
Feature Selection
Feature selection in component analysis.
Forecasting the Anterior Cruciate Ligament Rupture Patterns
Use of machine learning techniques to predict the injury pattern of the Anterior Cruciate Ligament (ACL) using non-invasive methods.
Hot Flash Detection
Machine learning algorithms to detect hot flashes in women using physiological measures.
Image Alignment
Image alignment with parameterized appearance models.
Indoor People Localization
Tracking multiple people in indoor environments with the connectivity of Bluetooth devices.
Intelligent Diabetes Assistant
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.
Learning Optimal Representations
Learning optimal representations for classification, image alignment, visualization and clustering.
Low Dimensional Embeddings
Finding low dimensional embeddings of signals optimal for modeling, classification, visualization and clustering.
Multimodal Data Collection
A multimodal database of subjects performing the tasks involved in cooking, captured with several sensors (audio, video, motion capture, accelerometer/gyroscope).
Multimodal Diaries
Summarization of daily activity from multimodal data (audio, video, body sensors and computer monitoring)
Quality of Life Technology (QoLT)
QoLT is a unique partnership between Carnegie Mellon and the University of Pittsburgh that brings together a cross-disciplinary team of technologists, clinicians, industry partners, end users, and other stakeholders to create revolutionary technologies that will improve and sustain the quality of life for all people.

Note: The QoLT Project has been superseded by the QoLT Center.
Spatio-Temporal Facial Expression Segmentation
A two-step approach temporally segment facial gestures from video sequences. It can register the rigid and non-rigid motion of the face.
Temporal Segmentation of Human Motion
Temporal segmentation of human motion
Unification of Component Analysis
This project aims to find the fundamental set of equations that unifies all component analysis methods.