-
Patent Agency Ranking
1.发明申请公开(公告)号：US20170281069A1
公开(公告)日：2017-10-05
申请号：US15510396
申请日：2015-09-11
Applicant: Emory University , Georgia Tech Research Corporation
Inventor： Russell K. Gore , Michelle LaPlaca , David W. Wright , Tamara Espinoza , Shean Phelps , Brian Liu , Stephen Smith , Nicole Kosoris , Alessio Medda , Courtney Crooks
CPC classification number: A61B5/4023 , A61B5/1113 , A61B5/1114 , A61B5/1116 , A61B5/1124 , A61B5/7475
Abstract: Methods and systems relate to determining sensory motor performance based on user non-postural movements within a generated dynamic virtual environment. The generated environment requires users to: (i) utilize primary sensor inputs (e.g., vision, vestibular sensation and somatosensation); (ii) assess the dynamic virtual environment; and (iii) integrate and translate those inputs into movement to control the dynamic virtual environment. The methods may include receiving non-postural user input with respect to a state of one or more attributes of a dynamic virtual environment provided on a user interface for one or more sessions, the one or more attributes including a control object and a target which moves with respect to the control object; determining performance information based on the user input and the state of the one or more attributes for the one or more sessions; and determining sensory motor performance information from the performance information.
-
2.发明申请公开(公告)号：US20170339487A1
公开(公告)日：2017-11-23
申请号：US15333668
申请日：2016-10-25
Applicant: Georgia Tech Research Corporation
Inventor： David Alvord , Alessio Medda
CPC classification number: H04R3/005 , B64C39/024 , B64C2201/12 , B64D43/00 , H04R1/028 , H04R1/406 , H04R2201/401 , H04R2201/403 , H04R2201/405 , H04R2410/05
Abstract: An aerial acoustic acquisition system including: an unmanned aerial vehicle (UAV); an acoustic sensing payload attached to the UAV including: at least one SOI microphone configured to detect a first audio signal including a signal of interest; and at least one noise detection microphone configured to detect a second audio signal including sound generated by the UAV, and a processing suite including a processor configured to receive first audio data corresponding to the first audio signal and second audio data corresponding to the second audio signal from the acoustic sensing suite, and process the first audio data using the second audio data to extract the signal of interest from the first audio data.
-
3.发明授权公开(公告)号：US10506966B2
公开(公告)日：2019-12-17
申请号：US15510396
申请日：2015-09-11
Applicant: Emory University , Georgia Tech Research Corporation
Inventor： Russell K. Gore , Michelle LaPlaca , David W. Wright , Tamara Espinoza , Shean Phelps , Brian Liu , Stephen Smith , Nicole Kosoris , Alessio Medda , Courtney Crooks
Abstract: Methods and systems relate to determining sensory motor performance based on user non-postural movements within a generated dynamic virtual environment. The generated environment requires users to: (i) utilize primary sensor inputs (e.g., vision, vestibular sensation and somatosensation); (ii) assess the dynamic virtual environment; and (iii) integrate and translate those inputs into movement to control the dynamic virtual environment. The methods may include receiving non-postural user input with respect to a state of one or more attributes of a dynamic virtual environment provided on a user interface for one or more sessions, the one or more attributes including a control object and a target which moves with respect to the control object; determining performance information based on the user input and the state of the one or more attributes for the one or more sessions; and determining sensory motor performance information from the performance information.
-
4.发明申请公开(公告)号：US20250153002A1
公开(公告)日：2025-05-15
申请号：US18945291
申请日：2024-11-12
Applicant: Georgia Tech Research Corporation
Inventor： Aprameya Satish , David Lin , Omer Inan , Alessio Medda , Kristine Richardson
IPC: A63B24/00
Abstract: An exemplary system and method employing physiological sensor fusion and trained artificial intelligence models to predict/estimate a time-to-completion for a user undergoing a structured activity. The time-to-completion may be determined at a given segment of the activity as defined only by the physiological sensor measurement. The exemplary system and method may provide individualized fitness information for a customized military training regimen or athlete programs, to provide comprehensive and localized snapshots of physical performance based on the entire history of the event/activity.
-
公开(公告)号：US10362392B2
公开(公告)日：2019-07-23
申请号：US15333668
申请日：2016-10-25
Applicant: Georgia Tech Research Corporation
Inventor： David Alvord , Alessio Medda
Abstract: An aerial acoustic acquisition system including: an unmanned aerial vehicle (UAV); an acoustic sensing payload attached to the UAV including: at least one SOI microphone configured to detect a first audio signal including a signal of interest; and at least one noise detection microphone configured to detect a second audio signal including sound generated by the UAV, and a processing suite including a processor configured to receive first audio data corresponding to the first audio signal and second audio data corresponding to the second audio signal from the acoustic sensing suite, and process the first audio data using the second audio data to extract the signal of interest from the first audio data.
-
-
-
-
Search Results
5
records
(took 0.015 seconds)
