Patents by Inventor Javier R. Movellan
Javier R. Movellan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 10319130Abstract: A method facilitates the use of facial images through anonymization of facial images, thereby allowing people to submit their own facial images without divulging their identities. Original facial images are accessed and perturbed to generate synthesized facial images. Personal identities contained in the original facial images are no longer discernable from the synthesized facial images. At the same time, each synthesized facial image preserves at least some of the original attributes of the corresponding original facial image.Type: GrantFiled: May 1, 2017Date of Patent: June 11, 2019Assignee: Emotient, Inc.Inventors: Jacob Whitehill, Javier R. Movellan, Ian Fasel
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Patent number: 9852327Abstract: A system facilitates automatic recognition of facial expressions or other facial attributes. The system includes a data access module and an expression engine. The expression engine further includes a set of specialized expression engines, a pose detection module, and a combiner module. The data access module accesses a facial image of a head. The set of specialized expression engines generates a set of specialized expression metrics, where each specialized expression metric is an indication of a facial expression of the facial image assuming a specific orientation of the head. The pose detection module determines the orientation of the head from the facial image. Based on the determined orientation of the head and the assumed orientations of each of the specialized expression metrics, the combiner module combines the set of specialized expression metrics to determine a facial expression metric for the facial image that is substantially invariant to the head orientation.Type: GrantFiled: January 13, 2017Date of Patent: December 26, 2017Assignee: Emotient, Inc.Inventors: Jacob Whitehill, Javier R. Movellan, Ian Fasel
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Publication number: 20170301121Abstract: A method facilitates the use of facial images through anonymization of facial images, thereby allowing people to submit their own facial images without divulging their identities. Original facial images are accessed and perturbed to generate synthesized facial images. Personal identities contained in the original facial images are no longer discernable from the synthesized facial images. At the same time, each synthesized facial image preserves at least some of the original attributes of the corresponding original facial image.Type: ApplicationFiled: May 1, 2017Publication date: October 19, 2017Inventors: Jacob Whitehill, Javier R. Movellan, Ian Fasel
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Publication number: 20170213075Abstract: A system facilitates automatic recognition of facial expressions or other facial attributes. The system includes a data access module and an expression engine. The expression engine further includes a set of specialized expression engines, a pose detection module, and a combiner module. The data access module accesses a facial image of a head. The set of specialized expression engines generates a set of specialized expression metrics, where each specialized expression metric is an indication of a facial expression of the facial image assuming a specific orientation of the head. The pose detection module determines the orientation of the head from the facial image. Based on the determined orientation of the head and the assumed orientations of each of the specialized expression metrics, the combiner module combines the set of specialized expression metrics to determine a facial expression metric for the facial image that is substantially invariant to the head orientation.Type: ApplicationFiled: January 13, 2017Publication date: July 27, 2017Inventors: Jacob Whitehill, Javier R. Movellan, Ian Fasel
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Patent number: 9639743Abstract: A method facilitates the use of facial images through anonymization of facial images, thereby allowing people to submit their own facial images without divulging their identities. Original facial images are accessed and perturbed to generate synthesized facial images. Personal identities contained in the original facial images are no longer discernable from the synthesized facial images. At the same time, each synthesized facial image preserves at least some of the original attributes of the corresponding original facial image.Type: GrantFiled: July 17, 2015Date of Patent: May 2, 2017Assignee: Emotient, Inc.Inventors: Jacob Whitehill, Javier R. Movellan, Ian Fasel
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Patent number: 9547808Abstract: A system facilitates automatic recognition of facial expressions or other facial attributes. The system includes a data access module and an expression engine. The expression engine further includes a set of specialized expression engines, a pose detection module, and a combiner module. The data access module accesses a facial image of a head. The set of specialized expression engines generates a set of specialized expression metrics, where each specialized expression metric is an indication of a facial expression of the facial image assuming a specific orientation of the head. The pose detection module determines the orientation of the head from the facial image. Based on the determined orientation of the head and the assumed orientations of each of the specialized expression metrics, the combiner module combines the set of specialized expression metrics to determine a facial expression metric for the facial image that is substantially invariant to the head orientation.Type: GrantFiled: July 17, 2015Date of Patent: January 17, 2017Assignee: Emotient, Inc.Inventors: Jacob Whitehill, Javier R. Movellan, Ian Fasel
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Publication number: 20150324632Abstract: A system facilitates automatic recognition of facial expressions or other facial attributes. The system includes a data access module and an expression engine. The expression engine further includes a set of specialized expression engines, a pose detection module, and a combiner module. The data access module accesses a facial image of a head. The set of specialized expression engines generates a set of specialized expression metrics, where each specialized expression metric is an indication of a facial expression of the facial image assuming a specific orientation of the head. The pose detection module determines the orientation of the head from the facial image. Based on the determined orientation of the head and the assumed orientations of each of the specialized expression metrics, the combiner module combines the set of specialized expression metrics to determine a facial expression metric for the facial image that is substantially invariant to the head orientation.Type: ApplicationFiled: July 17, 2015Publication date: November 12, 2015Inventors: Jacob Whitehill, Javier R. Movellan, Ian Fasel
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Publication number: 20150324633Abstract: A method facilitates the use of facial images through anonymization of facial images, thereby allowing people to submit their own facial images without divulging their identities. Original facial images are accessed and perturbed to generate synthesized facial images. Personal identities contained in the original facial images are no longer discernable from the synthesized facial images. At the same time, each synthesized facial image preserves at least some of the original attributes of the corresponding original facial image.Type: ApplicationFiled: July 17, 2015Publication date: November 12, 2015Inventors: Jacob Whitehill, Javier R. Movellan, Ian Fasel
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Patent number: 9104907Abstract: A system facilitates automatic recognition of facial expressions. The system includes a data access module and an expression engine. The expression engine further includes a set of specialized expression engines, a pose detection module, and a combiner module. The data access module accesses a facial image of a head. The set of specialized expression engines generates a set of specialized expression metrics, where each specialized expression metric is an indication of a facial expression of the facial image assuming a specific orientation of the head. The pose detection module determines the orientation of the head from the facial image. Based on the determined orientation of the head and the assumed orientations of each of the specialized expression metrics, the combiner module combines the set of specialized expression metrics to determine a facial expression metric for the facial image that is substantially invariant to the head orientation.Type: GrantFiled: July 17, 2013Date of Patent: August 11, 2015Assignee: Emotient, Inc.Inventors: Jacob Whitehill, Javier R. Movellan, Ian Fasel
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Patent number: 9105119Abstract: A method facilitates training of an automatic facial expression recognition system through distributed anonymization of facial images, thereby allowing people to submit their own facial images without divulging their identities. Original facial images are accessed and perturbed to generate synthesized facial images. Personal identities contained in the original facial images are no longer discernable from the synthesized facial images. At the same time, each synthesized facial image preserves at least part of the emotional expression contained in the corresponding original facial image.Type: GrantFiled: May 2, 2013Date of Patent: August 11, 2015Assignee: Emotient, Inc.Inventors: Jacob Whitehill, Javier R. Movellan, Ian Fasel
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Patent number: 9104905Abstract: A method facilitates selection of candidate matches for an individual from a database of potential applicants. A filter is calculated for the individual by processing images of people in conjunction with the individual's preferences with respect to those images. Feature sets are calculated for the potential applicants by processing images of the potential applicants. The filter is then applied to the feature sets to select candidate matches for the individual.Type: GrantFiled: May 2, 2013Date of Patent: August 11, 2015Assignee: Emotient, Inc.Inventors: Jacob Whitehill, Javier R. Movellan, Ian Fasel
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Publication number: 20150023603Abstract: A system facilitates automatic recognition of facial expressions. The system includes a data access module and an expression engine. The expression engine further includes a set of specialized expression engines, a pose detection module, and a combiner module. The data access module accesses a facial image of a head. The set of specialized expression engines generates a set of specialized expression metrics, where each specialized expression metric is an indication of a facial expression of the facial image assuming a specific orientation of the head. The pose detection module determines the orientation of the head from the facial image. Based on the determined orientation of the head and the assumed orientations of each of the specialized expression metrics, the combiner module combines the set of specialized expression metrics to determine a facial expression metric for the facial image that is substantially invariant to the head orientation.Type: ApplicationFiled: July 17, 2013Publication date: January 22, 2015Inventors: Jacob Whitehill, Javier R. Movellan, Ian Fasel
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Publication number: 20140328536Abstract: A method facilitates selection of candidate matches for an individual from a database of potential applicants. A filter is calculated for the individual by processing images of people in conjunction with the individual's preferences with respect to those images. Feature sets are calculated for the potential applicants by processing images of the potential applicants. The filter is then applied to the feature sets to select candidate matches for the individual.Type: ApplicationFiled: May 2, 2013Publication date: November 6, 2014Inventors: Jacob Whitehill, Javier R. Movellan, Ian Fasel
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Publication number: 20140328547Abstract: A method facilitates training of an automatic facial expression recognition system through distributed anonymization of facial images, thereby allowing people to submit their own facial images without divulging their identities. Original facial images are accessed and perturbed to generate synthesized facial images. Personal identities contained in the original facial images are no longer discernable from the synthesized facial images. At the same time, each synthesized facial image preserves at least part of the emotional expression contained in the corresponding original facial image.Type: ApplicationFiled: May 2, 2013Publication date: November 6, 2014Inventors: Jacob Whitehill, Javier R. Movellan, Ian Fasel
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Publication number: 20140310208Abstract: Machine learning systems are represented as directed acyclic graphs, where the nodes represent functional modules in the system and edges represent input/output relations between the functional modules. A machine learning environment can then be created to facilitate the training and operation of these machine learning systems.Type: ApplicationFiled: April 10, 2013Publication date: October 16, 2014Applicant: Machine Perception Technologies Inc.Inventors: Ian Fasel, James Polizo, Jacob Whitehill, Joshua M. Susskind, Javier R. Movellan
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Publication number: 20130245462Abstract: In embodiments, a person's heart rate variability (HRV) is determined by analyzing different color channels of a video of the person's skin. Various statistics are then derived from the HRV. The person's HRV statistics are processed using comparison's with HRV statistics of other people with known athletic through sedentary lifestyles, to obtain the person's fitness index. An analogous processing is carried out using comparisons of the person's HRV statistics to those of people with known levels of proficiency in specific sports, to obtain the person's sport-specific fitness index for the person.Type: ApplicationFiled: September 6, 2012Publication date: September 19, 2013Inventors: Lluis Capdevila, Javier R. Movellan, Juan Ramos-Castro
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Patent number: 8484146Abstract: The present invention provides an interaction device adapted for setting own controller for maximizing expectation of information defined between a hypothesis about an interaction object and own input/output. Thus, the social robot can judge by using only simple input/output sensor whether or not the human being is present or absent at the outside world.Type: GrantFiled: January 17, 2007Date of Patent: July 9, 2013Assignees: Sony Corporation, University of California, San Diego Regents of University of CaliforniaInventors: Javier R. Movellan, Fumihide Tanaka
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Patent number: 7624076Abstract: A facial expression recognition system that uses a face detection apparatus realizing efficient learning and high-speed detection processing based on ensemble learning when detecting an area representing a detection target and that is robust against shifts of face position included in images and capable of highly accurate expression recognition, and a learning method for the system, are provided. When learning data to be used by the face detection apparatus by Adaboost, processing to select high-performance weak hypotheses from all weak hypotheses, then generate new weak hypotheses from these high-performance weak hypotheses on the basis of statistical characteristics, and select one weak hypothesis having the highest discrimination performance from these weak hypotheses, is repeated to sequentially generate a weak hypothesis, and a final hypothesis is thus acquired.Type: GrantFiled: March 7, 2008Date of Patent: November 24, 2009Assignees: Sony Corporation, University of California, San DiegoInventors: Javier R. Movellan, Marian S. Bartlett, Gwendolen C. Littlewort, John Hershey, Ian R. Fasel, Eric C. Carlson, Josh Susskind, Kohtaro Sabe, Kenta Kawamoto, Kenichi Hidai
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Patent number: 7587069Abstract: A facial expression recognition system that uses a face detection apparatus realizing efficient learning and high-speed detection processing based on ensemble learning when detecting an area representing a detection target and that is robust against shifts of face position included in images and capable of highly accurate expression recognition, and a learning method for the system, are provided. When learning data to be used by the face detection apparatus by Adaboost, processing to select high-performance weak hypotheses from all weak hypotheses, then generate new weak hypotheses from these high-performance weak hypotheses on the basis of statistical characteristics, and select one weak hypothesis having the highest discrimination performance from these weak hypotheses, is repeated to sequentially generate a weak hypothesis, and a final hypothesis is thus acquired.Type: GrantFiled: March 7, 2008Date of Patent: September 8, 2009Assignees: Sony Corporation, San Diego, University of CaliforniaInventors: Javier R. Movellan, Marian S. Bartlett, Gwendolen C. Littlewort, John Hershey, Ian R. Fasel, Eric C. Carlson, Josh Susskind, Kohtaro Sabe, Kenta Kawamoto, Kenichi Hidai
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Publication number: 20080247598Abstract: A facial expression recognition system that uses a face detection apparatus realizing efficient learning and high-speed detection processing based on ensemble learning when detecting an area representing a detection target and that is robust against shifts of face position included in images and capable of highly accurate expression recognition, and a learning method for the system, are provided. When learning data to be used by the face detection apparatus by Adaboost, processing to select high-performance weak hypotheses from all weak hypotheses, then generate new weak hypotheses from these high-performance weak hypotheses on the basis of statistical characteristics, and select one weak hypothesis having the highest discrimination performance from these weak hypotheses, is repeated to sequentially generate a weak hypothesis, and a final hypothesis is thus acquired.Type: ApplicationFiled: March 7, 2008Publication date: October 9, 2008Inventors: Javier R. Movellan, Marian S. Bartlett, Gwendolen C. Littlewort, John Hershey, Ian R. Fasel, Eric C. Carlson, Josh Susskind, Kohtaro Sabe, Kenta Kawamoto, Kenichi Hidai