Core Viewpoint - Company UBTECH (09880.HK) has applied for a patent related to a method, device, readable storage medium, and electronic equipment for detecting emotional fluctuations, indicating a focus on emotional detection technology [1] Group 1: Patent Details - The patent application pertains to the field of emotional fluctuation detection technology, specifically involving a method and device for detecting emotional changes [1] - The method includes obtaining multimodal signals from a target object within a micro-pressure oxygen chamber and extracting features from these signals to create corresponding feature vectors [1] - The feature vectors are then fused to produce a multimodal fusion feature vector, which is used to detect emotional fluctuations in the target object, enhancing the accuracy of the detection results [1]

Group 1 - The core point of the article is that Beijing Xiaomi Mobile Software Co., Ltd. has obtained a patent for a "screen display method, device, readable storage medium, and electronic equipment," with the authorization announcement number CN116453459B, and the application date being January 2022 [1] Group 2 - Beijing Xiaomi Mobile Software Co., Ltd. was established in 2012 and is located in Beijing, primarily engaged in software and information technology services [1] - The company has a registered capital of 148.8 million RMB [1] - According to data analysis, the company has invested in 4 enterprises, participated in 149 bidding projects, and holds 5000 patent information, along with 123 administrative licenses [1]

Group 1 - The core viewpoint of the article is that Beijing Horizon Robotics has received authorization for a patent related to high-precision map information prediction methods, which enhances the accuracy of real-time high-precision map generation [2] Group 2 - The patented method involves determining the vehicle's current location, retrieving digital map information for the upcoming road segment, and combining it with historical high-precision map data to predict high-precision map information [2] - This approach significantly improves the accuracy of predicted high-precision map information by integrating known data, thereby reducing time, labor costs, and computational resources required for subsequent real-time map generation [2]