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Depression Assesment
This project aims to compute quantitative behavioral measures related to depression severity from facial expression, body gesture, and vocal prosody in clinical interviews.
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Deception Detection
Learning facial indicators of deception.
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Hot Flash Detection
Machine learning algorithms to detect hot flashes in women using physiological measures.
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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.
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Quality of Life Technology Center
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. |
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Multimodal Diaries
Summarization of daily activity from multimodal data (audio, video, body sensors and computer monitoring) |
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Facial Feature Detection
Detecting facial features in images. |
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Facial Expression Analysis
Automatic facial expression encoding, extraction and recognition, and expression intensity estimation for diverse applications: teleconferencing, human-computer interaction/interface. |
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Temporal Alignment of Human Behavior
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.
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Temporal Segmentation of Human Behavior
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Face Recognition
Recognizing people from images and video. |
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