Patents by Inventor Erdrin Azemi
Erdrin Azemi 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: 20240134449Abstract: A head-mounted device having a plurality of electrodes configured to detect optical events such as the movement of one or more eyes or coarse eye gestures is disclosed. In some examples, the one or more electrodes can be coupled to dielectric elastomer materials whose shape can be changed to vary contact between a user of the head-mounted device and the one or more electrodes to ensure sufficient contact and electrode signal quality. In some examples, the one or more electrodes can be coupled to pressure sensors and control circuitry to monitor and adjust the applied pressure. In some examples, the optical events can be used as triggers for operating the device, including transitioning between operational power modes. In some examples, the triggers can invoke higher resolution sensing capabilities of the head-mounted device. In some examples, the electrodes can be used as an on-head detector to wake-up and/or unlock the device.Type: ApplicationFiled: January 3, 2024Publication date: April 25, 2024Inventors: Erdrin AZEMI, Ali MOIN, Christoph H. KRAH, Joseph Yitan CHENG, Kaan Emre DOGRUSOZ, Mohammad YEKE YAZDANDOOST
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Publication number: 20240103632Abstract: Aspects of the subject technology relate to providing gesture-based control of electronic devices. Providing gesture-based control may include determining, with a machine learning system that includes multiple machine learning models, a prediction of one or more gestures and their corresponding probabilities of being performed. A likelihood of the user's intent to actually perform that gesture may then be generated, based on the prediction and a gesture detection factor. The likelihood may be dynamically updated over time, and a visual, auditory, and/or haptic indicator of the likelihood may be provided as user feedback. The visual, auditory, and/or haptic indicator may be helpful to guide the user to the correct gesture if the gesture is intended, or to stop performing an action similar to the gesture if the gesture is not intended.Type: ApplicationFiled: September 18, 2023Publication date: March 28, 2024Inventors: Matthias R. HOHMANN, Anna SEDLACKOVA, Bradley W. GRIFFIN, Christopher M. SANDINO, Darius A. SATONGAR, Erdrin AZEMI, Kaan E. DOGRUSOZ, Paul G. PUSKARICH, Gergo PALKOVICS
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Publication number: 20240058650Abstract: Methods, systems and/or computer-implemented instructions are configured to perform or support actions that include: determining a time contribution for each of a set of workout effort zones for a user, wherein each of the set of workout effort zones corresponds to a range of values for a biosignal; determining a timeseries of workout target effort zones for the user based on the target time contributions for the set of workout effort zones; receiving, during a workout time period, real-time biosignal data from a sensor in a wearable electronic device being worn by the user; generating, during the workout time period, an audio, visual, or haptic stimulus based on the real-time biosignal data and a target effort zone in the time series of workout target effort zones; and outputting, during the workout time period, the audio, visual, or haptic stimulus.Type: ApplicationFiled: August 17, 2023Publication date: February 22, 2024Applicant: Apple Inc.Inventors: Matthias R. Hohmann, Andrea Eppy, Erdrin Azemi
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Patent number: 11874958Abstract: A head-mounted device having a plurality of electrodes configured to detect optical events such as the movement of one or more eyes or coarse eye gestures is disclosed. In some examples, the one or more electrodes can be coupled to dielectric elastomer materials whose shape can be changed to vary contact between a user of the head-mounted device and the one or more electrodes to ensure sufficient contact and electrode signal quality. In some examples, the one or more electrodes can be coupled to pressure sensors and control circuitry to monitor and adjust the applied pressure. In some examples, the optical events can be used as triggers for operating the device, including transitioning between operational power modes. In some examples, the triggers can invoke higher resolution sensing capabilities of the head-mounted device. In some examples, the electrodes can be used as an on-head detector to wake-up and/or unlock the device.Type: GrantFiled: September 24, 2021Date of Patent: January 16, 2024Assignee: Apple Inc.Inventors: Erdrin Azemi, Ali Moin, Christoph H. Krah, Joseph Yitan Cheng, Kaan Emre Dogrusoz, Mohammad Yeke Yazdandoost
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Publication number: 20240012480Abstract: Techniques are disclosed for defining a training data set to include biosignals and categorical labels representative of a context. For example, a categorical label may indicate whether a user was performing a difficult or easy mental task while the biosignal was being recorded. A set of first layers in a neural network can be trained using a portion of the training data set associated with a first set of users and at least one second layer can be trained using a portion of the training data set associated with a particular other user. The neural network can then be used to process other biosignals from the particular other user to generate predicted categorical context labels.Type: ApplicationFiled: July 20, 2023Publication date: January 11, 2024Applicant: Apple Inc.Inventors: Erdrin Azemi, Joseph Yitan Cheng, Hanlin Goh
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Patent number: 11747902Abstract: Techniques are disclosed for defining a training data set to include biosignals and categorical labels representative of a context. For example, a categorical label may indicate whether a user was performing a difficult or easy mental task while the biosignal was being recorded. A set of first layers in a neural network can be trained using a portion of the training data set associated with a first set of users and at least one second layer can be trained using a portion of the training data set associated with a particular other user. The neural network can then be used to process other biosignals from the particular other user to generate predicted categorical context labels.Type: GrantFiled: February 12, 2021Date of Patent: September 5, 2023Assignee: Apple Inc.Inventors: Erdrin Azemi, Joseph Yitan Cheng, Hanlin Goh
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Publication number: 20230225659Abstract: A wearable electronic device includes a housing, and an electrode carrier attached to the housing and having a nonplanar surface. The wearable electronic device includes a set of electrodes, including electrodes positioned at different locations on the nonplanar surface. The wearable electronic device includes a sensor circuit and a switching circuit. The switching circuit is operable to electrically connect a number of different subsets of one or more electrodes in the set of electrodes to the sensor circuit.Type: ApplicationFiled: January 9, 2023Publication date: July 20, 2023Inventors: Erdrin Azemi, Ali Moin, Anuranjini Pragada, Jean Hsiang-Chun Lu, Victoria M. Powell, Juri Minxha, Steven P. Hotelling
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Publication number: 20230105223Abstract: Electrodes that can be formed in a flexible band of a wrist-worn device to detect hand gestures are disclosed. Multiple rows of electrodes can be configured to detect electromyography (EMG) signals produced by activity of muscles and tendons. The band can include removable electrical connections (e.g., pogo pins) to enable the electrode signals to be routed to processing circuitry in the housing of the wrist-worn device. Measurements between signals from the active electrodes and one or more reference electrodes can be obtained to capture EMG signals at a number of locations on the band. The measurement method and mode of operation (lower power coarse detection or higher power fine detection) can determine the location and number of electrodes to be measured. These EMG signals can be processed to identify hand movements and recognize gestures associated with those hand movements.Type: ApplicationFiled: August 31, 2022Publication date: April 6, 2023Inventors: Kaan E. DOGRUSOZ, Ali MOIN, Benjamin J. GRENA, Erdrin AZEMI, Joseph CHENG, Lia M. UESATO, Daniel A. PODHAJNY
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Publication number: 20230102507Abstract: A head-mounted device having a plurality of electrodes configured to detect optical events such as the movement of one or more eyes or coarse eye gestures is disclosed. In some examples, the one or more electrodes can be coupled to dielectric elastomer materials whose shape can be changed to vary contact between a user of the head-mounted device and the one or more electrodes to ensure sufficient contact and electrode signal quality. In some examples, the one or more electrodes can be coupled to pressure sensors and control circuitry to monitor and adjust the applied pressure. In some examples, the optical events can be used as triggers for operating the device, including transitioning between operational power modes. In some examples, the triggers can invoke higher resolution sensing capabilities of the head-mounted device. In some examples, the electrodes can be used as an on-head detector to wake-up and/or unlock the device.Type: ApplicationFiled: September 24, 2021Publication date: March 30, 2023Inventors: Erdrin AZEMI, Ali MOIN, Christoph H. KRAH, Joseph Yitan CHENG, Kaan Emre DOGRUSOZ, Mohammad YEKE YAZDANDOOST
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Publication number: 20230076716Abstract: Aspects of the subject technology relate to gesture-control inputs to an electronic device for controlling one or more other devices. The electronic device can efficiently provide gesture control for multiple other devices by mapping a finite set of user gestures to a specific set of gesture-control elements for each of the multiple other devices. In this way a single gesture can be detected for potentially controlling various different functions of various different devices. Prior to gesture control, the electronic device may receive a selection of a particular one of the multiple other devices for control, and obtain the specific set of gesture-control elements for gesture control of that selected device.Type: ApplicationFiled: June 28, 2022Publication date: March 9, 2023Inventors: Kaan E. DOGRUSOZ, Ali MOIN, Joseph CHENG, Erdrin AZEMI
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Publication number: 20220383189Abstract: Methods and systems are provided for predicting cognitive load. A computing device receives sensor measurements from sensors. The sensor measurements correspond to characteristics of a user during the performance of a task. For each sensor, the computing device derives, from the sensor measurements of the sensor, a set of features predictive of the cognitive load of the user; generates, from those features, a self-attention vector that characterizes each feature of the set of features relative to another feature; and defines a feature vector from the features and the self-attention vector. The computing device generates an input feature vector from the feature vector of at least one sensor. The computing device then uses a machine-learning model to generate an indication of the cognitive load of the user during the performance of a task from the feature vector.Type: ApplicationFiled: December 17, 2021Publication date: December 1, 2022Applicant: Apple Inc.Inventors: Joseph Yitan Cheng, Amruta Pai, Erdrin Azemi, Matthias R. Hohmann
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Publication number: 20210374570Abstract: The present application relates to apparatus, systems, and methods to perform subject-aware self-supervised learning of a machine-learning model for classification of data, such as classification of biosignals.Type: ApplicationFiled: May 20, 2021Publication date: December 2, 2021Applicant: Apple Inc.Inventors: Joseph Y. Cheng, Erdrin Azemi, Hanlin Goh, Kaan E. Dogrusoz, Cuneyt O. Tuzel
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Publication number: 20210286429Abstract: Techniques are disclosed for defining a training data set to include biosignals and categorical labels representative of a context. For example, a categorical label may indicate whether a user was performing a difficult or easy mental task while the biosignal was being recorded. A set of first layers in a neural network can be trained using a portion of the training data set associated with a first set of users and at least one second layer can be trained using a portion of the training data set associated with a particular other user. The neural network can then be used to process other biosignals from the particular other user to generate predicted categorical context labels.Type: ApplicationFiled: February 12, 2021Publication date: September 16, 2021Applicant: Apple Inc.Inventors: Erdrin Azemi, Joseph Yitan Cheng, Hanlin Goh
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Patent number: 9924883Abstract: Disclosed herein are neural probes comprising an L1 polypeptide functional fragment thereof on the exterior surface of the probe, devices including such electrodes, and methods of their use. The disclosed embodiments are useful, for example, for in methods of recording and/or stimulating neural signals in a subject.Type: GrantFiled: June 27, 2014Date of Patent: March 27, 2018Assignee: University of Pittsburgh—Of the Commonwealth System of Higher EducationInventors: Xinyan T. Cui, Carl F. Lagenaur, Erdrin Azemi, Noah R. Snyder
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Publication number: 20150005607Abstract: Disclosed herein are neural probes comprising an L1 polypeptide functional fragment thereof on the exterior surface of the probe, devices including such electrodes, and methods of their use. The disclosed embodiments are useful, for example, for in methods of recording and/or stimulating neural signals in a subject.Type: ApplicationFiled: June 27, 2014Publication date: January 1, 2015Applicant: University of Pittsburgh - Of the Commonwealth System of Higher EducationInventors: Xinyan T. Cui, Carl F. Lagenaur, Erdrin Azemi, Noah R. Snyder