Patents by Inventor Abel Seleshi Mengistu
Abel Seleshi Mengistu 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: 20240094827Abstract: Systems and techniques are described for robust radar-based gesture-recognition. A radar system detects radar-based gestures on behalf of application subscribers. A state machine transitions between multiple states based on inertial sensor data. A no-gating state enables the radar system to output radar-based gestures to application subscribers. The state machine also includes a soft-gating state that prevents the radar system from outputting the radar-based gestures to the application subscribers. A hard-gating state prevents the radar system from detecting radar-based gestures altogether. The techniques and systems enable the radar system to determine when not to perform gesture-recognition, enabling user equipment to automatically reconfigure the radar system to meet user demand. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.Type: ApplicationFiled: November 28, 2023Publication date: March 21, 2024Applicant: Google LLCInventors: Jung Ook Hong, Patrick M. Amihood, John David Jacobs, Abel Seleshi Mengistu, Leonardo Giusti, Vignesh Sachidanandam, Devon James O'Reilley Stern, Ivan Poupyrev, Brandon Barbello, Tyler Reed Kugler, Johan Prag, Artur Tsurkan, Alok Chandel, Lucas Dupin Moreira Costa, Selim Flavio Cinek
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Patent number: 11868537Abstract: Systems and techniques are described for robust radar-based gesture-recognition. A radar system detects radar-based gestures on behalf of application subscribers. A state machine transitions between multiple states based on inertial sensor data. A no-gating state enables the radar system to output radar-based gestures to application subscribers. The state machine also includes a soft-gating state that prevents the radar system from outputting the radar-based gestures to the application subscribers. A hard-gating state prevents the radar system from detecting radar-based gestures altogether. The techniques and systems enable the radar system to determine when not to perform gesture-recognition, enabling user equipment to automatically reconfigure the radar system to meet user demand. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.Type: GrantFiled: April 29, 2022Date of Patent: January 9, 2024Inventors: Jung Ook Hong, Patrick M. Amihood, John David Jacobs, Abel Seleshi Mengistu, Leonardo Giusti, Vignesh Sachidanandam, Devon James O'Reilley Stern, Ivan Poupyrev, Brandon Barbello, Tyler Reed Kugler, Johan Prag, Artur Tsurkan, Alok Chandel, Lucas Dupin Moreira Costa, Selim Flavio Cinek
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Publication number: 20220413620Abstract: This document describes techniques and systems for radar-based gesture-recognition with context-sensitive gating and other context-sensitive controls. Sensor data from a proximity sensor and/or a movement sensor produces a context of a user equipment. The techniques and systems enable the user equipment to recognize contexts when a radar system can be unreliable and should not be used for gesture-recognition, enabling the user equipment to automatically disable or “gate” the output from the radar system according to context. The user equipment prevents the radar system from transitioning to a high-power state to perform gesture-recognition in contexts where radar data detected by the radar system is likely due to unintentional input. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.Type: ApplicationFiled: August 25, 2022Publication date: December 29, 2022Applicant: Google LLCInventors: Vignesh Sachidanandam, Ivan Poupyrev, Leonardo Giusti, Devon James O'Reilley Stern, Jung Ook Hong, Patrick M. Amihood, John David Jacobs, Abel Seleshi Mengistu, Brandon Barbello, Tyler Reed Kugler
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Publication number: 20220326367Abstract: Techniques and apparatuses are described that implement a smart-device-based radar system capable of performing gesture recognition using a space time neural network. The space time neural network employs machine learning to recognize a user's gesture based on complex radar data. The space time neural network is implemented using a multi-stage machine-learning architecture, which enables the radar system to conserve power and recognize the user's gesture in real time (e.g., as the gesture is performed). The space time neural network is also adaptable and can be expanded to recognize multiple types of gestures, such as a swipe gesture and a reach gesture, without significantly increasing size, computational requirements, or latency.Type: ApplicationFiled: October 20, 2020Publication date: October 13, 2022Applicant: Google LLCInventors: Michal Matuszak, Abel Seleshi Mengistu, Nicholas Edward Gillian, Abhijit Aroon Shah
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Patent number: 11467672Abstract: This document describes techniques and systems for radar-based gesture-recognition with context-sensitive gating and other context-sensitive controls. Sensor data from a proximity sensor (108) and/or a movement sensor (108) produces a context of a user equipment (102). The techniques and systems enable the user equipment (102) to recognize contexts when a radar system (104) can be unreliable and should not be used for gesture-recognition, enabling the user equipment (102) to automatically disable or “gate” the output from the radar system (104) according to context. The user equipment (102) prevents the radar system (104) from transitioning to a high-power state (1910) to perform gesture-recognition in contexts where radar data detected by the radar system (104) is likely due to unintentional input. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.Type: GrantFiled: September 27, 2019Date of Patent: October 11, 2022Assignee: Google LLCInventors: Vignesh Sachidanandam, Ivan Poupyrev, Leonardo Giusti, Devon James O'Reilley Stern, Jung Ook Hong, Patrick M. Amihood, John David Jacobs, Abel Seleshi Mengistu, Brandon Barbello, Tyler Reed Kugler
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Publication number: 20220261084Abstract: Systems and techniques are described for robust radar-based gesture-recognition. A radar system detects radar-based gestures on behalf of application subscribers. A state machine transitions between multiple states based on inertial sensor data. A no-gating state enables the radar system to output radar-based gestures to application subscribers. The state machine also includes a soft-gating state that prevents the radar system from outputting the radar-based gestures to the application subscribers. A hard-gating state prevents the radar system from detecting radar-based gestures altogether. The techniques and systems enable the radar system to determine when not to perform gesture-recognition, enabling user equipment to automatically reconfigure the radar system to meet user demand. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.Type: ApplicationFiled: April 29, 2022Publication date: August 18, 2022Applicant: Google LLCInventors: Jung Ook Hong, Patrick M. Amihood, John David Jacobs, Abel Seleshi Mengistu, Leonardo Giusti, Vignesh Sachidanandam, Devon James O'Reilley Stern, Ivan Poupyrev, Brandon Barbello, Tyler Reed Kugler, Johan Prag, Artur Tsurkan, Alok Chandel, Lucas Dupin Moreira Costa, Selim Flavio Cinek
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Patent number: 11385722Abstract: Systems and techniques are described for robust radar-based gesture-recognition. A radar system (104) detects radar-based gestures on behalf of application subscribers. A state machine (2000) transitions between multiple states based on inertial sensor data. A no-gating state (2002) enables the radar system (104) to output radar-based gestures to application subscribers. The state machine (2000) also includes a soft-gating state (2004) that prevents the radar system (104) from outputting the radar-based gestures to the application subscribers. A hard-gating state (2006) prevents the radar system (104) from detecting radar-based gestures altogether. The techniques and systems enable the radar system (104) to determine when not to perform gesture-recognition, enabling user equipment (102) to automatically reconfigure the radar system (104) to meet user demand.Type: GrantFiled: May 28, 2020Date of Patent: July 12, 2022Assignee: Google LLCInventors: Jung Ook Hong, Patrick M. Amihood, John David Jacobs, Abel Seleshi Mengistu, Leonardo Giusti, Vignesh Sachidanandam, Devon James O'Reilley Stern, Ivan Poupyrev, Brandon Barbello, Tyler Reed Kugler, Johan Prag, Artur Tsurkan, Alok Chandel, Lucas Dupin Moreira Costa, Selim Flavio Cinek
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Publication number: 20210342008Abstract: This document describes techniques and systems for radar-based gesture-recognition with context-sensitive gating and other context-sensitive controls. Sensor data from a proximity sensor (108) and/or a movement sensor (108) produces a context of a user equipment (102). The techniques and systems enable the user equipment (102) to recognize contexts when a radar system (104) can be unreliable and should not be used for gesture-recognition, enabling the user equipment (102) to automatically disable or “gate” the output from the radar system (104) according to context. The user equipment (102) prevents the radar system (104) from transitioning to a high-power state (1910) to perform gesture-recognition in contexts where radar data detected by the radar system (104) is likely due to unintentional input. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for radar-based gesture-recognition.Type: ApplicationFiled: September 27, 2019Publication date: November 4, 2021Applicant: Google LLCInventors: Vignesh Sachidanandam, Ivan Poupyrev, Leonardo Giusti, Devon James O'Reilley Stern, Jung Ook Hong, Patrick M. Amihood, John David Jacobs, Abel Seleshi Mengistu, Brandon Barbello, Tyler Reed Kugler
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Publication number: 20210026454Abstract: Systems and techniques are described for robust radar-based gesture-recognition. A radar system (104) detects radar-based gestures on behalf of application subscribers. A state machine (2000) transitions between multiple states based on inertial sensor data. A no-gating state (2002) enables the radar system (104) to output radar-based gestures to application subscribers. The state machine (2000) also includes a soft-gating state (2004) that prevents the radar system (104) from outputting the radar-based gestures to the application subscribers. A hard-gating state (2006) prevents the radar system (104) from detecting radar-based gestures altogether. The techniques and systems enable the radar system (104) to determine when not to perform gesture-recognition, enabling user equipment (102) to automatically reconfigure the radar system (104) to meet user demand.Type: ApplicationFiled: May 28, 2020Publication date: January 28, 2021Applicant: Google LLCInventors: Jung Ook Hong, Patrick M. Amihood, John David Jacobs, Abel Seleshi Mengistu, Leonardo Giusti, Vignesh Sachidanandam, Devon James O'Reilley Stern, Ivan Poupyrev, Brandon Barbello, Tyler Reed Kugler, Johan Prag, Artur Tsurkan, Alok Chandel, Lucas Dupin Moreira Costa, Selim Flavio Cinek