Patents by Inventor Ramachandran Gurumoorthy
Ramachandran Gurumoorthy 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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Publication number: 20240003694Abstract: The present disclosure relates to systems, non-transitory computer readable media, and methods for detecting and providing a digital notification of whether a ridership error exists. For instance, a ridership error detection system identifies a transportation match between a requestor device and a provider device. The ridership error detection system determines one or more sets of provider-requestor consistency signals from the requestor device and the provider device across ride stages. For instance, the ridership error detection system analyzes location signals, IMU signals, audio signals, local wireless signals indicating distances between the requestor device and the provider device, and other signals to determine whether a ridership error exists. The ridership error detection system provides digital notifications to the provider device and the requestor device based on the ridership error determination.Type: ApplicationFiled: September 18, 2023Publication date: January 4, 2024Inventors: Matthew Allen Davis, Jayaprabhakar Kadarkarai, Eshaan Bhalla, Fadi Al Sayed Hassan, Ramachandran Gurumoorthy, Neil Pradip Shah, Suresh Pragada, Thanigaivel Ashwin Raj, Nathan Van Fleet
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Patent number: 11790393Abstract: An example system includes an analyzer to identify a degree of amplitude synchrony between a first pattern in a first frequency band in first neuro-response data and a second pattern in a second frequency band in the first neuro-response data, the first neuro-response data gathered via a first modality of collection from a subject while the subject is exposed to media, and modify the degree of amplitude synchrony in response to activity in second neuro-response data, the second neuro-response data gathered via a second modality of collection from the subject while the subject is exposed to the media, the activity corresponding in time to at least a portion of the first pattern or the second pattern. The example system includes an estimator to determine an effectiveness of the media based on the modified degree of amplitude synchrony.Type: GrantFiled: February 14, 2022Date of Patent: October 17, 2023Assignee: Nielsen Consumer LLCInventors: A. K. Pradeep, Robert T. Knight, Ramachandran Gurumoorthy
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Patent number: 11763340Abstract: An example system includes an analyzer to identify first activity in first neuro-response data, the first activity generated in response to exposure of a subject to a first stimulus prior to exposure to an advertisement or entertainment; identify second activity in second neuro-response data, the second activity generated in response to re-exposure of the subject to the first stimulus after to exposure to the advertisement or entertainment; calculate a differential event related potential measurement; and calculate a differential event related power spectral perturbation. The example system includes a resonance estimator to determine a subject resonance measurement to the advertisement or the entertainment based on the differential event related potential measurement and adjust at least one of the subject resonance measurement or the differential event related potential measurement based on the differential event related power spectral perturbation to generate an adjusted subject resonance measurement.Type: GrantFiled: February 7, 2022Date of Patent: September 19, 2023Assignee: Nielsen Consumer LLCInventors: Anantha Pradeep, Robert T. Knight, Ramachandran Gurumoorthy
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Patent number: 11761770Abstract: The present disclosure relates to systems, non-transitory computer readable media, and methods for detecting and providing a digital notification of whether a ridership error exists. For instance, a ridership error detection system identifies a transportation match between a requestor device and a provider device. The ridership error detection system determines one or more sets of provider-requestor consistency signals from the requestor device and the provider device across ride stages. For instance, the ridership error detection system analyzes location signals, IMU signals, audio signals, local wireless signals indicating distances between the requestor device and the provider device, and other signals to determine whether a ridership error exists. The ridership error detection system provides digital notifications to the provider device and the requestor device based on the ridership error determination.Type: GrantFiled: November 22, 2019Date of Patent: September 19, 2023Assignee: Lyft, Inc.Inventors: Matthew Allen Davis, Jayaprabhakar Kadarkarai, Eshaan Bhalla, Fadi AI Sayed Hassan, Ramachandran Gurumoorthy, Neil Pradip Shah, Suresh Pragada, Thanigaivel Ashwin Raj, Nathan Van Fleet
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Patent number: 11704681Abstract: A neurological profile associated with introversion/extroversion levels, simultaneous visual element processing capability, and/or dynamism processing capability, etc., is determined to select market categories and stimulus material targeted to the particular neurological profile. The neurological profile is determined using information such as user input, user activity, social and environmental factors, genetic and developmental factors, and/or neuro-response data. The neurological profile can be matched with corresponding neurological profile templates to select market categories and stimulus material.Type: GrantFiled: September 5, 2019Date of Patent: July 18, 2023Assignee: Nielsen Consumer LLCInventors: Anantha Pradeep, Robert T. Knight, Ramachandran Gurumoorthy
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Patent number: 11669858Abstract: An example system disclosed herein includes an analyzer to determine a first priming characteristic of media at a first location based on first neuro-response data and determine a second priming characteristic of the media at the second location based on second neuro-response data. The example system includes a selector to select a third location in the media after the first location or a fourth location in the media after the second location as a candidate location for introduction of advertising material based on the first priming characteristic and the second priming characteristic. The selector is to select the third location when the first priming characteristic indicates increased receptivity to the advertising material at the first location relative to the second priming characteristic and select the fourth location when the second priming characteristic indicates increased receptivity to the advertising material at the second location relative to the first priming characteristic.Type: GrantFiled: November 1, 2021Date of Patent: June 6, 2023Assignee: Nielsen Consumer LLCInventors: Robert T. Knight, Ramachandran Gurumoorthy, Anantha Pradeep
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Patent number: 11488198Abstract: An example system disclosed herein includes an analyzer to analyze first neuro-response data and second neuro-response data and a selector to identify a candidate location in source material for introduction of an advertisement or entertainment based on first neuro-response data and second neuro-response data. The analyzer is to detect a first pattern of oscillation in a first frequency band of third neuro-response data; detect a second pattern of oscillation in a second frequency band of the third neuro-response data; determine a degree of phase synchrony or amplitude synchrony based on the first pattern of oscillation and the second pattern of oscillation; and determine an effectiveness of the advertisement or entertainment based on the degree of phase synchrony or amplitude synchrony.Type: GrantFiled: January 29, 2021Date of Patent: November 1, 2022Assignee: Nielsen Consumer LLCInventors: A. K. Pradeep, Robert T. Knight, Ramachandran Gurumoorthy
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Patent number: 11481788Abstract: An example system disclosed herein for transforming neuro-response data into media ratings includes a data collector to obtain first neuro-response from a first subject exposed to a first media and second neuro-response data from a second subject exposed to a second media. The first media broadcast is before a time of the second media. The example system includes an analyzer to integrate the first neuro-response data with ratings data for the first media to generate a first rating for the first media. The ratings data is based on set-top box data associated with a media presentation device presenting the first media. The analyzer is to transform the second neuro-response data into a second rating for the second media based on the first rating.Type: GrantFiled: October 5, 2018Date of Patent: October 25, 2022Assignee: Nielsen Consumer LLCInventors: Anantha Pradeep, Robert T. Knight, Ramachandran Gurumoorthy
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Publication number: 20220237652Abstract: An example system includes an analyzer to identify a degree of amplitude synchrony between a first pattern in a first frequency band in first neuro-response data and a second pattern in a second frequency band in the first neuro-response data, the first neuro-response data gathered via a first modality of collection from a subject while the subject is exposed to media, and modify the degree of amplitude synchrony in response to activity in second neuro-response data, the second neuro-response data gathered via a second modality of collection from the subject while the subject is exposed to the media, the activity corresponding in time to at least a portion of the first pattern or the second pattern. The example system includes an estimator to determine an effectiveness of the media based on the modified degree of amplitude synchrony.Type: ApplicationFiled: February 14, 2022Publication date: July 28, 2022Inventors: A.K. Pradeep, Robert T. Knight, Ramachandran Gurumoorthy
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Publication number: 20220230199Abstract: An example system includes an analyzer to identify first activity in first neuro-response data, the first activity generated in response to exposure of a subject to a first stimulus prior to exposure to an advertisement or entertainment; identify second activity in second neuro-response data, the second activity generated in response to re-exposure of the subject to the first stimulus after to exposure to the advertisement or entertainment; calculate a differential event related potential measurement; and calculate a differential event related power spectral perturbation. The example system includes a resonance estimator to determine a subject resonance measurement to the advertisement or the entertainment based on the differential event related potential measurement and adjust at least one of the subject resonance measurement or the differential event related potential measurement based on the differential event related power spectral perturbation to generate an adjusted subject resonance measurement.Type: ApplicationFiled: February 7, 2022Publication date: July 21, 2022Inventors: Anantha Pradeep, Robert T. Knight, Ramachandran Gurumoorthy
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Patent number: 11357431Abstract: Methods and apparatus to identify an emotion evoked by media are disclosed. An example apparatus includes a synthesizer to generate a first synthesized sample based on a pre-verbal utterance associated with a first emotion. A feature extractor is to identify a first value of a first feature of the first synthesized sample. The feature extractor to identify a second value of the first feature of first media evoking an unknown emotion. A classification engine is to create a model based on the first feature. The model is to establish a relationship between the first value of the first feature and the first emotion. The classification engine is to identify the first media as evoking the first emotion when the model indicates that the second value corresponds to the first value.Type: GrantFiled: October 16, 2020Date of Patent: June 14, 2022Assignee: The Nielsen Company (US), LLCInventors: Robert T. Knight, Ramachandran Gurumoorthy, Alexander Topchy, Ratnakar Dev, Padmanabhan Soundararajan, Anantha Pradeep
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Publication number: 20220058687Abstract: An example system disclosed herein includes an analyzer to determine a first priming characteristic of media at a first location based on first neuro-response data and determine a second priming characteristic of the media at the second location based on second neuro-response data. The example system includes a selector to select a third location in the media after the first location or a fourth location in the media after the second location as a candidate location for introduction of advertising material based on the first priming characteristic and the second priming characteristic. The selector is to select the third location when the first priming characteristic indicates increased receptivity to the advertising material at the first location relative to the second priming characteristic and select the fourth location when the second priming characteristic indicates increased receptivity to the advertising material at the second location relative to the first priming characteristic.Type: ApplicationFiled: November 1, 2021Publication date: February 24, 2022Inventors: Robert T. Knight, Ramachandran Gurumoorthy, Anantha Pradeep
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Patent number: 11250465Abstract: An example system includes an analyzer to identify a degree of amplitude synchrony between a first pattern in a first frequency band in first neuro-response data and a second pattern in a second frequency band in the first neuro-response data, the first neuro-response data gathered via a first modality of collection from a subject while the subject is exposed to media, and modify the degree of amplitude synchrony in response to activity in second neuro-response data, the second neuro-response data gathered via a second modality of collection from the subject while the subject is exposed to the media, the activity corresponding in time to at least a portion of the first pattern or the second pattern. The example system includes an estimator to determine an effectiveness of the media based on the modified degree of amplitude synchrony.Type: GrantFiled: April 30, 2020Date of Patent: February 15, 2022Assignee: Nielsen Consumer LLCInventors: A. K. Pradeep, Robert T. Knight, Ramachandran Gurumoorthy
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Patent number: 11244345Abstract: An example system includes an analyzer to identify first activity in first neuro-response data, the first activity generated in response to exposure of a subject to a first stimulus prior to exposure to an advertisement or entertainment; identify second activity in second neuro-response data, the second activity generated in response to re-exposure of the subject to the first stimulus after to exposure to the advertisement or entertainment; calculate a differential event related potential measurement; and calculate a differential event related power spectral perturbation. The example system includes a resonance estimator to determine a subject resonance measurement to the advertisement or the entertainment based on the differential event related potential measurement and adjust at least one of the subject resonance measurement or the differential event related potential measurement based on the differential event related power spectral perturbation to generate an adjusted subject resonance measurement.Type: GrantFiled: July 31, 2020Date of Patent: February 8, 2022Assignee: Nielsen Consumer LLCInventors: Anantha Pradeep, Robert T. Knight, Ramachandran Gurumoorthy
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Patent number: 11170400Abstract: An example system disclosed herein includes an analyzer to determine a first priming characteristic of media at a first location based on first neuro-response data and determine a second priming characteristic of the media at the second location based on second neuro-response data. The example system includes a selector to select a third location in the media after the first location or a fourth location in the media after the second location as a candidate location for introduction of advertising material based on the first priming characteristic and the second priming characteristic. The selector is to select the third location when the first priming characteristic indicates increased receptivity to the advertising material at the first location relative to the second priming characteristic and select the fourth location when the second priming characteristic indicates increased receptivity to the advertising material at the second location relative to the first priming characteristic.Type: GrantFiled: March 21, 2019Date of Patent: November 9, 2021Assignee: NIELSEN CONSUMER LLCInventors: Robert T. Knight, Ramachandran Gurumoorthy, Anantha Pradeep
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Patent number: 11049134Abstract: An example system includes an analyzer to determine a first distance between (1) a first peak in a first frequency band of first neuro-response data gathered from a subject while exposed to media and (2) a second peak in the first frequency band; determine a second distance between (1) a third peak in the first frequency band and either (2) the second peak in the first frequency band or (3) a fourth peak in the first frequency band and determine a first difference between the first distance and the second distance. The example system includes a selector to determine a modification for the media based on the first difference and a modifier to implement the modification for presentation of the media.Type: GrantFiled: February 13, 2020Date of Patent: June 29, 2021Assignee: Nielsen Consumer LLCInventors: A. K. Pradeep, Robert T. Knight, Ramachandran Gurumoorthy
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Publication number: 20210156700Abstract: The present disclosure relates to systems, non-transitory computer readable media, and methods for detecting and providing a digital notification of whether a ridership error exists. For instance, a ridership error detection system identifies a transportation match between a requestor device and a provider device. The ridership error detection system determines one or more sets of provider-requestor consistency signals from the requestor device and the provider device across ride stages. For instance, the ridership error detection system analyzes location signals, IMU signals, audio signals, local wireless signals indicating distances between the requestor device and the provider device, and other signals to determine whether a ridership error exists. The ridership error detection system provides digital notifications to the provider device and the requestor device based on the ridership error determination.Type: ApplicationFiled: November 22, 2019Publication date: May 27, 2021Inventors: Matthew Allen Davis, Jayaprabhakar Kadarkarai, Eshaan Bhalla, Fadi Al Sayed Hassan, Ramachandran Gurumoorthy, Neil Pradip Shah, Suresh Pragada, Thanigaivel Ashwin Raj, Nathan Van Fleet
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Publication number: 20210150563Abstract: An example system disclosed herein includes an analyzer to analyze first neuro-response data and second neuro-response data and a selector to identify a candidate location in source material for introduction of an advertisement or entertainment based on first neuro-response data and second neuro-response data. The analyzer is to detect a first pattern of oscillation in a first frequency band of third neuro-response data; detect a second pattern of oscillation in a second frequency band of the third neuro-response data; determine a degree of phase synchrony or amplitude synchrony based on the first pattern of oscillation and the second pattern of oscillation; and determine an effectiveness of the advertisement or entertainment based on the degree of phase synchrony or amplitude synchrony.Type: ApplicationFiled: January 29, 2021Publication date: May 20, 2021Inventors: A.K. Pradeep, Robert T. Knight, Ramachandran Gurumoorthy
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Publication number: 20210128040Abstract: Methods and apparatus to identify an emotion evoked by media are disclosed. An example apparatus includes a synthesizer to generate a first synthesized sample based on a pre-verbal utterance associated with a first emotion. A feature extractor is to identify a first value of a first feature of the first synthesized sample. The feature extractor to identify a second value of the first feature of first media evoking an unknown emotion. A classification engine is to create a model based on the first feature. The model is to establish a relationship between the first value of the first feature and the first emotion. The classification engine is to identify the first media as evoking the first emotion when the model indicates that the second value corresponds to the first value.Type: ApplicationFiled: October 16, 2020Publication date: May 6, 2021Inventors: Robert T. Knight, Ramachandran Gurumoorthy, Alexander Topchy, Ratnakar Dev, Padmanabhan Soundararajan, Anantha Pradeep
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Patent number: 10987015Abstract: An electroencephalography (EEG) system includes a dry electrode design having a jagged, angular, comb, etc. shaped support housing. Each dry electrode housing includes multiple electrodes where each electrode has multiple contacts for scalp placement with minimal interference from hair. Signals from individual contacts may be disregarded and each housing may provide one or more aggregated signals for data analysis. Each electrode may be placed in close proximity with neighboring electrodes as no conductive gel is required and may be attached to the scalp using straps, elastic cap, spring-type materials, tape, etc. The dry electrode design effectively measures bio-signals including neurological activity.Type: GrantFiled: August 24, 2009Date of Patent: April 27, 2021Assignee: NIELSEN CONSUMER LLCInventors: Anantha Pradeep, Robert T. Knight, Ramachandran Gurumoorthy