The Robotics Institute
Carnegie Mellon Robotics Institute
Carnegie Mellon Robotics Institute
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Deception Detection Learning facial indicators of deception |
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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. |
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Face Recognition Recognizing people from images and videos. |
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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. |
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Facial Feature Detection Detecting facial features in images. |
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Feature Selection Feature selection in component analysis. |
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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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Hot Flash Detection Machine learning algorithms to detect hot flashes in women using physiological measures. |
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Image Alignment Image alignment with parameterized appearance models. |
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Indoor People Localization Tracking multiple people in indoor environments with the connectivity of Bluetooth devices. |
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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. |
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Learning Optimal Representations Learning optimal representations for classification, image alignment, visualization and clustering. |
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Low Dimensional Embeddings Finding low dimensional embeddings of signals optimal for modeling, classification, visualization and clustering. |
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Multimodal Data Collection A multimodal database of subjects performing the tasks involved in cooking, captured with several sensors (audio, video, motion capture, accelerometer/gyroscope). |
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Multimodal Diaries Summarization of daily activity from multimodal data (audio, video, body sensors and computer monitoring) |
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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. |
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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. |
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Temporal Segmentation of Human Motion Temporal segmentation of human motion |
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Unification of Component Analysis This project aims to find the fundamental set of equations that unifies all component analysis methods. |
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| The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University. Contact Us | Update Instructions |
