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公开(公告)号：US10828549B2
公开(公告)日：2020-11-10
申请号：US15574109
申请日：2016-12-30
Applicant: Intel Corporation
Inventor： Qiang Eric Li , Wenlong Li , Shaohui Jiao , Yikai Fang , Xiaolu Shen , Lidan Zhang , Xiaofeng Tong , Fucen Zeng
Abstract: System and techniques for positional analysis using computer vision sensor synchronization are described herein. A set of sensor data may be obtained for a participant of an activity. A video stream may be captured in response to detection of a start of the activity in the set of sensor data. The video stream may include images of the participant engaging in the activity. A key stage of the activity may be identified by evaluation of the sensor data. A key frame may be selected from the video stream using a timestamp of the sensor data used to identify the key stage of the activity. A skeletal map may be generated for the participant in the key frame using key points of the participant extracted from the key frame. Instructional data may be selected using the skeletal map. The instructional data may be displayed on a display device.
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公开(公告)号：US11383144B2
公开(公告)日：2022-07-12
申请号：US17093215
申请日：2020-11-09
Applicant: Intel Corporation
Inventor： Qiang Eric Li , Wenlong Li , Shaohui Jiao , Yikai Fang , Xiaolu Shen , Lidan Zhang , Xiaofeng Tong , Fucen Zeng
Abstract: System and techniques for positional analysis using computer vision sensor synchronization are described herein. A set of sensor data may be obtained for a participant of an activity. A video stream may be captured in response to detection of a start of the activity in the set of sensor data. The video stream may include images of the participant engaging in the activity. A key stage of the activity may be identified by evaluation of the sensor data. A key frame may be selected from the video stream using a timestamp of the sensor data used to identify the key stage of the activity. A skeletal map may be generated for the participant in the key frame using key points of the participant extracted from the key frame. Instructional data may be selected using the skeletal map. The instructional data may be displayed on a display device.
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公开(公告)号：US20210069571A1
公开(公告)日：2021-03-11
申请号：US17093215
申请日：2020-11-09
Applicant: Intel Corporation
Inventor： Qiang Eric Li , Wenlong Li , Shaohui Jiao , Yikai Fang , Xiaolu Shen , Lidan Zhang , Xiaofeng Tong , Fucen Zeng
Abstract: System and techniques for positional analysis using computer vision sensor synchronization are described herein. A set of sensor data may be obtained for a participant of an activity. A video stream may be captured in response to detection of a start of the activity in the set of sensor data. The video stream may include images of the participant engaging in the activity. A key stage of the activity may be identified by evaluation of the sensor data. A key frame may be selected from the video stream using a timestamp of the sensor data used to identify the key stage of the activity. A skeletal map may be generated for the participant in the key frame using key points of the participant extracted from the key frame. Instructional data may be selected using the skeletal map. The instructional data may be displayed on a display device.
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