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公开(公告)号：US20220192560A1
公开(公告)日：2022-06-23
申请号：US17559015
申请日：2021-12-22
Inventor： David Yang , Anis Troudi , Dena Al Thani , Amine Bermak , Mounir Hamdi
Abstract: The present application provides an AI-based system for evaluating an individual's mindfulness (e.g., during prayer) based on video captured of the individual. In one example, the video may be captured via a smart phone. The individual's mindfulness may be continually evaluated from the captured video by observing the individual's body pose and movements. For instance, turning the individual's head to one side or moving the individual's eyes around rapidly can be signs of losing focus. Body pose and movement information of an individual may be derived from the video through AI-based video analytics. The user's body pose and movements may be checked against a set of predefined criteria for mindfulness, and an objective evaluation may be provided. Such evaluation can then be fed back to the individual, for example, to remind the individual whenever they lose focus during prayer.
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公开(公告)号：US20230140289A1
公开(公告)日：2023-05-04
申请号：US17979488
申请日：2022-11-02
Inventor： David Yang , Chaojie Li , Mansoor Al-Thani
Abstract: Traffic accident prediction systems and methods are provided. The traffic accident prediction systems and methods include an accident prediction model that utilizes a spatiotemporal attention-based multi-graph convolution neural network to predict the number of traffic accidents in a predetermined region over a predetermined period of time in order to assist with the efficient dispatch of public safety resources to respond to traffic accidents.
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公开(公告)号：US12133730B2
公开(公告)日：2024-11-05
申请号：US17559015
申请日：2021-12-22
Inventor： David Yang , Anis Troudi , Dena Al Thani , Amine Bermak , Mounir Hamdi
Abstract: The present application provides an AI-based system for evaluating an individual's mindfulness (e.g., during prayer) based on video captured of the individual. In one example, the video may be captured via a smart phone. The individual's mindfulness may be continually evaluated from the captured video by observing the individual's body pose and movements. For instance, turning the individual's head to one side or moving the individual's eyes around rapidly can be signs of losing focus. Body pose and movement information of an individual may be derived from the video through AI-based video analytics. The user's body pose and movements may be checked against a set of predefined criteria for mindfulness, and an objective evaluation may be provided. Such evaluation can then be fed back to the individual, for example, to remind the individual whenever they lose focus during prayer.
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公开(公告)号：US20240221375A1
公开(公告)日：2024-07-04
申请号：US18400635
申请日：2023-12-29
Inventor： David Yang , Marwa Qaraqe , Emrah Basaran
IPC: G06V10/94 , G06V10/778
CPC classification number: G06V10/94 , G06V10/778
Abstract: Token pruning in Swin transformer architectures is provided via identifying initial windows into which the tokenized input to a Swin transformer architecture is divided and a pruning target; identifying D1 tokens in each initial window, excluding those tokens located in a first row of each initial window, having a lowest information content; merging each of the D1 tokens in each initial window into another token in that initial window in a vertical direction to transform each initial window into a corresponding intermediate window; identifying D2 tokens in each intermediate window, excluding those tokens located in a first column of each intermediate window, having a lowest information content; merging each of the D2 tokens in each intermediate window into another token in that intermediate window in a horizontal direction to transform each intermediate window into a corresponding spatially complete window.
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