公开(公告)号：US20220148063A1

公开(公告)日：2022-05-12

申请号：US17120300

申请日：2020-12-14

Applicant: University of Science and Technology Beijing

Inventor： Lun XIE ,  Hang PAN

IPC: G06Q30/06 ,  G06T5/00 ,  G06T7/10 ,  G06K9/00 ,  G06K9/32 ,  G06K9/62 ,  G06T9/00 ,  G06N20/10

Abstract: An online shopping system based on facial emotional state analysis and a method thereof is provided. The system includes: an online shopping module configured for providing an online shopping interactive interface for a user and collecting facial image data and interactive behavior data of the user in an online shopping process; a facial expression recognition module configured for recognizing an emotional state of the user according to the collected facial image data in the online shopping process of the user; a shopping intention analysis module configured for deciding a shopping intention of the user according to the recognized emotional state and the interactive behavior data of the user; and a shopping recommendation adjustment module configured for dynamically adjusting a commodity recommendation strategy for the user according to the decided shopping intention of the user.

公开(公告)号：US20230202043A1

公开(公告)日：2023-06-29

申请号：US17692200

申请日：2022-03-11

Applicant: University of Science and Technology Beijing

Inventor： Lun XIE ,  Yulin ZHOU

IPC: B25J9/16

CPC classification number: B25J9/1674 ,  B25J9/163 ,  G05B2219/31145 ,  G05B2219/39001 ,  G05B2219/50193

Abstract: A method and system of robotic arm safety detection based on EtherCAT automation are provided. The method includes: issuing a control data through the protocol module to control the robotic arm to complete an automation operation process by the control system module, and receiving joint data fed back in real-time of the sensor module; acquiring a real-time data of the robotic arm by the data capture module; wherein the real-time data includes protocol data and joint data; the joint data is acquired by the data capture module through the sensor module; performing a protocol data rule matching and physical process detection by the intrusion detection module based on the real-time data, and obtaining an intrusion detection result; wherein the intrusion detection result is configured to detect whether an intrusion behavior occurs during a normal operation of the robotic arm.

公开(公告)号：US20220254264A1

公开(公告)日：2022-08-11

申请号：US17320251

申请日：2021-05-14

Applicant: University of Science and Technology Beijing

Inventor： Lun XIE ,  Mengnan CHEN

IPC: G09B5/02 ,  G06N20/00 ,  G06K9/00 ,  G06K9/46

Abstract: An online learning system based on cloud-client integration multimodal analysis includes: an online learning module used for providing an online learning interface for a user and collecting image data, physiological data, posture data and interaction log data during an online learning process of the user; a multimodal data integration decision module used for preprocessing the image data, physiological data and posture data, extracting corresponding features, and making a comprehensive decision in combination with the interaction log data to obtain a current learning state of the user; a cloud-client integration system architecture module used for coordinating use of computing resources of a cloud server and a local client according to usage conditions of the cloud server and the local client, and visually displaying a progress of computing tasks; a system interaction adjustment module used for adjusting the online learning module according to the current learning state of the user.