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公开(公告)号：US20210312715A1
公开(公告)日：2021-10-07
申请号：US17223287
申请日：2021-04-06
Applicant: Purdue Research Foundation
Inventor： Karthik Ramani , Terrell Kendall Glenn , Caleb Carithers , Ananya Ipsita
IPC: G06T19/00 , G06T13/40 , G06F3/0481 , G06F8/34
Abstract: A unique storytelling system is disclosed herein in which a plug-and-play hardware platform with an integrated augmented reality (AR) environment brings stories to life. The storytelling system includes an electronics toolkit and a structure toolkit which enable the user to prototype interactive physical devices for storytelling. The interactive physical devices crafted by the user are easily programmed using a simple visual programing environment of the storytelling system. Additionally, a story event planning tool of the storytelling system enables the user to create customized interactions between the interactive physical devices and virtual AR objects, such as virtual AR avatars or the like. Finally, an AR storytelling application of the storytelling system utilizes an AR device, such as a smartphone, to bring the interactive physical devices to life and enable the user to tell stories using the custom interactions that he or she created.
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公开(公告)号：US20200225761A1
公开(公告)日：2020-07-16
申请号：US16707936
申请日：2019-12-09
Applicant: Purdue Research Foundation
Inventor： Ayan Sinha , Chiho Choi , Joon Hee Choi , Karthik Ramani
Abstract: A method for hand pose identification in an automated system includes providing depth map data of a hand of a user to a first neural network trained to classify features corresponding to a joint angle of a wrist in the hand to generate a first plurality of activation features and performing a first search in a predetermined plurality of activation features stored in a database in the memory to identify a first plurality of hand pose parameters for the wrist associated with predetermined activation features in the database that are nearest neighbors to the first plurality of activation features. The method further includes generating a hand pose model corresponding to the hand of the user based on the first plurality of hand pose parameters and performing an operation in the automated system in response to input from the user based on the hand pose model.
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公开(公告)号：US20190310716A1
公开(公告)日：2019-10-10
申请号：US16436588
申请日：2019-06-10
Applicant: Purdue Research Foundation
Inventor： Ayan Sinha , Chiho Choi , Joon Hee Choi , Karthik Ramani
Abstract: A method for hand pose identification in an automated system includes providing depth map data of a hand of a user to a first neural network trained to classify features corresponding to a joint angle of a wrist in the hand to generate a first plurality of activation features and performing a first search in a predetermined plurality of activation features stored in a database in the memory to identify a first plurality of hand pose parameters for the wrist associated with predetermined activation features in the database that are nearest neighbors to the first plurality of activation features. The method further includes generating a hand pose model corresponding to the hand of the user based on the first plurality of hand pose parameters and performing an operation in the automated system in response to input from the user based on the hand pose model.
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公开(公告)号：US20190035160A1
公开(公告)日：2019-01-31
申请号：US15925758
申请日：2018-03-19
Applicant: Purdue Research Foundation
Inventor： Ke Huo , Fnu Vinayak , Karthik Ramani
IPC: G06T19/20 , G06T19/00 , G06F3/0488 , G06T17/20 , G06F3/0481 , G06T15/04
Abstract: A virtual reality system, comprising an electronic 2d interface having a depth sensor, the depth sensor allowing a user to provide input to the system to instruct the system to create a virtual 3D object in a real-world environment. The virtual 3D object is created with reference to at least one external physical object in the real-world environment, with the external physical object concurrently displayed with the virtual 3D object by the interface. The virtual 3D object is based on physical artifacts of the external physical object.
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公开(公告)号：US20180122138A1
公开(公告)日：2018-05-03
申请号：US15821831
申请日：2017-11-23
Applicant: Purdue Research Foundation
Inventor： Cecil Piya , Fnu Vinayak , Karthik Ramani
IPC: G06T17/10 , G06F17/50 , G06F3/0488
Abstract: A collaborative 3D modeling system, comprising a computer processing unit, a digital memory, and an electronic display, the computer processing unit and the digital memory configured to provide 3D model representations of a first plurality of versions of an object component for a first user, the versions being selectable along a first axis, and using the electronic display, provide a plurality of user identifications which are selectable along a second axis, wherein selecting a subsequent user causes a second plurality of said versions of said object component to be displayed on the electronic display.
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Patent Agency Ranking
16.发明申请公开(公告)号：US20150331576A1
公开(公告)日：2015-11-19
申请号：US14712695
申请日：2015-05-14
Applicant: Purdue Research Foundation
Inventor： Cecil Piya , Fnu Vinayak , Karthik Ramani
IPC: G06F3/0481 , G06F3/0484
CPC classification number: G06F3/04815 , G06F3/011
Abstract: A method of manipulating a three-dimensional image file including a virtual object includes obtaining image information in a processing device of a non-instrumented physical object manipulated by a user, such image information including movement information; and causing virtual movement of the virtual object based on the movement information. A method of shaping a virtual object includes obtaining image information including movement information; and determining a shape of the virtual object based on the movement information. A method of modifying a virtual object includes obtaining image information including movement information; and altering a virtual surface appearance of at least a part of the virtual object based on the movement information. Systems and computer-readable media are also described.
Abstract translation: 一种操作包括虚拟对象的三维图像文件的方法包括：在由用户操纵的非仪器物理对象的处理设备中获取包括运动信息的图像信息的图像信息; 并基于移动信息引起虚拟对象的虚拟移动。 一种对虚拟对象进行整形的方法包括获取包括移动信息的图像信息; 以及基于所述移动信息来确定所述虚拟对象的形状。 修改虚拟对象的方法包括获取包括移动信息的图像信息; 以及基于所述移动信息来改变所述虚拟对象的至少一部分的虚拟表面外观。 还描述了系统和计算机可读介质。
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17.发明授权公开(公告)号：US12288299B2
公开(公告)日：2025-04-29
申请号：US18480158
申请日：2023-10-03
Applicant: Purdue Research Foundation
Inventor： Karthik Ramani , Zhengzhe Zhu , Ziyi Liu , Tianyi Wang
IPC: G06T19/00 , A63F13/577 , A63F13/63 , A63F13/655 , G06F3/0346 , G06F3/04815
Abstract: An augmented reality (AR) interaction authoring system is described. The AR interaction authoring system is configured to support the real-time creation of AR applications to support AR-enhanced toys. The design of the AR interaction authoring system enables bidirectional interactions between the physical-virtual space of toys and AR. The AR interaction authoring system allows intuitive authoring of AR animations and toys actuations through programming by demonstration, while referring to the physical toy for a contextual reference. Using a visual programming interface, users can create bidirectional interactions by utilizing users' input on toys to trigger AR animations and vice versa. A plug-and-play IoT toolkit is also disclosed that includes hardware to actuate common toys. In this way, users can effortlessly integrate toys into the virtual world in an impromptu design process, without lengthy electronic prototyping.
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18.发明申请公开(公告)号：US20250124671A1
公开(公告)日：2025-04-17
申请号：US18908885
申请日：2024-10-08
Applicant: Purdue Research Foundation
Inventor： Karthik Ramani , Jingyu Shi , Rahul Jain
IPC: G06T19/00 , G06V10/74 , G06V10/764 , G06V40/10 , G06V40/20
Abstract: The disclosed system and method enable hand-object interaction with a virtual object in augmented reality or virtual reality. The system and method advantageously suggest particular physical objects in the environment to be used as physical proxies for virtual objects to be interacted with. The system and method maintain physical and mental consistency in the user experience by recommending physical proxies in a manner that takes into consideration the interaction constraints. Finally, the system and method advantageously incorporate a mapping process that takes into consideration the object, the hand gesture, and the contact points on both the physical and virtual object, thereby providing consistent visualization of the virtual hand-object interactions to the users.
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19.发明公开公开(公告)号：US20240339040A1
公开(公告)日：2024-10-10
申请号：US18615083
申请日：2024-03-25
Applicant: Purdue Research Foundation
Inventor： Karthik Ramani , Zhengzhe Zhu , Ziyi Liu
CPC classification number: G09B5/02 , G06F3/014 , G06T7/20 , G06T7/70 , G06T2200/24 , G06T2207/30196
Abstract: A digital instrument tutorial system is introduced herein, which enables the authoring and provision of augmented reality (AR) tutorials for operating digital instruments. The digital instrument tutorial system provides an automated authoring workflow for users (e.g., an expert user and/or author) to create sequential AR tutorials for digital instruments by intuitive embodied demonstration. The digital instrument tutorial system advantageously utilizes a multimodal approach that combines finger pressure and gesture tracking to translate the author's operations into AR visualizations. Aside from recording a tutorial for a task, the digital instrument tutorial system also provides an access mode, in which the AR tutorial is provided to a novice user.
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公开(公告)号：US20240296582A1
公开(公告)日：2024-09-05
申请号：US18584191
申请日：2024-02-22
Applicant: Purdue Research Foundation
Inventor： Karthik Ramani , Hyung-gun Chi , Seunggeun Chi
CPC classification number: G06T7/73 , G06V10/26 , G06V10/44 , G06T2207/20044 , G06T2207/20084
Abstract: An approach for pose estimation is disclosed that can mitigate the effect of occlusions. A POse Relation Transformer (PORT) module is configured to reconstruct occluded joints given the visible joints utilizing joint correlations by capturing the implicit joint occlusions. The PORT module captures the global context of the pose using self-attention and a local context by aggregating adjacent joint features. To train the PORT module to learn joint correlations, joints are randomly masked and the PORT module learns to reconstruct the masked joints, referred to as Masked Joint Modeling (MJM). Notably, the PORT module is a model-agnostic plug-in for pose refinement under occlusion that can be plugged into any existing or future keypoint detector with substantially low computational costs.
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