CN-122018679-A - Parameter updating method, device, electronic equipment, storage medium and product

CN122018679ACN 122018679 ACN122018679 ACN 122018679ACN-122018679-A

Abstract

The disclosure provides a parameter updating method, a parameter updating device, electronic equipment, a storage medium and a product. The method comprises the steps of obtaining user action data, wherein the user action data are acquired by at least two acquisition devices, extracting user gesture data and user gesture data from the user action data, determining user gesture recognition scores based on the user gesture data, updating gesture recognition parameters of the virtual reality device according to the user gesture data in response to the user gesture recognition scores being smaller than a first preset score, and updating gesture recognition parameters of the virtual reality device according to the user gesture data in response to the user gesture recognition scores being smaller than a second preset score.

Inventors

WANG WEI
WANG HONGLIANG
WANG SIJIE
YANG GANG
XIE JIA

Assignees

咪咕新空文化科技(厦门)有限公司
咪咕文化科技有限公司
中国移动通信集团有限公司

Dates

Publication Date: 20260512
Application Date: 20251231

Claims (10)

1. A method for updating parameters, comprising: acquiring user action data, wherein the user action data is acquired by at least two acquisition devices; extracting user gesture data and user gesture data from the user action data; determining a user gesture recognition score based on the user gesture data, and determining a user gesture recognition score based on the user gesture data; And updating gesture recognition parameters of the virtual reality device according to the user gesture data in response to the user gesture recognition score being smaller than a first preset score and in response to the user gesture recognition score being smaller than a second preset score.
2. The method of claim 1, wherein the obtaining user action data comprises: acquiring interactive operation data of a user and virtual reality equipment; Analyzing the interactive operation data to obtain a performance evaluation result of the virtual reality equipment; and responding to the performance evaluation result of the virtual reality equipment is not smaller than a preset performance evaluation result, and acquiring user action data.
3. The method according to claim 2, wherein the interactive operation data includes a maximum frame rate of a transmission frame of a virtual reality device in an interactive monitoring period, a maximum delay time of a network, an average refresh rate of a display screen, and an operation maximum temperature, and the analyzing the interactive operation data to obtain a performance evaluation result of the virtual reality device includes: Determining a weight set, wherein the weight set comprises a first weight corresponding to the maximum frame rate of a transmission picture of the virtual reality equipment in an interaction monitoring period, a second weight corresponding to the maximum delay time of the network, a third weight corresponding to the average refresh rate of the display screen and a fourth weight corresponding to the highest running temperature; and determining a performance evaluation result of the virtual reality equipment based on the weight set, the maximum frame rate of a transmission picture of the virtual reality equipment in the interactive monitoring period, the maximum delay time of the network, the average refresh rate of the display screen and the highest running temperature.
4. The method according to claim 2, wherein after analyzing the interactive operation data to obtain the performance evaluation result of the virtual reality device, the method further comprises: And generating early warning prompt information aiming at the interactive operation of the virtual reality equipment in response to the performance evaluation result of the virtual reality equipment being smaller than a preset performance evaluation result, wherein the early warning prompt information comprises at least one of popping up performance abnormality warning information on a display screen of the virtual reality equipment and adjusting the refresh rate of the display screen of the virtual reality equipment.
5. The method of claim 1, wherein the extracting user gesture data and user gesture data from the user action data comprises: Extracting features of the user action data to obtain user action features associated with user gestures and user gestures; and analyzing the actions of the user based on the user action characteristics to obtain user gesture data and user gesture data.
6. The method of claim 3, wherein the user gesture data comprises a head average tilt angle, an arm average motion speed, and a leg average motion speed of the user during the interaction, the user gesture data comprises a finger average rotation angle and a gesture average motion speed of the user during the interaction, the determining a user gesture recognition score based on the user gesture data, and the determining a user gesture recognition score based on the user gesture data comprises: Determining a user gesture recognition score based on a maximum frame rate of a transmission picture of the virtual reality device in an interaction monitoring period, an average head inclination angle of the user in an interaction process, an average arm movement speed and an average leg movement speed, and determining a user gesture recognition score based on the highest delay time of the network, an average finger rotation angle of the user in the interaction process and the average gesture movement speed.
7. A parameter updating apparatus, comprising: the acquisition unit is used for acquiring user action data, wherein the user action data is acquired by at least two acquisition devices; The extraction unit is used for extracting user gesture data and user gesture data from the user action data; A determining unit, configured to determine a user gesture recognition score based on the user gesture data, and determine a user gesture recognition score based on the user gesture data; And the updating unit is used for responding to the fact that the user gesture recognition score is smaller than a first preset score, updating gesture recognition parameters of the virtual reality equipment according to the user gesture data, and updating gesture recognition parameters of the virtual reality equipment according to the user gesture data in response to the fact that the user gesture recognition score is smaller than a second preset score.
8. An electronic device, comprising: at least one processor, and A memory communicatively coupled to the at least one processor, wherein, The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1 to 6.
9. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1 to 6.
10. A computer program product comprising a computer program which, when executed by a processor, implements the method of any one of claims 1 to 6.

Description

Parameter updating method, device, electronic equipment, storage medium and product Technical Field The disclosure relates to the technical field of virtual reality, and in particular relates to a parameter updating method, a parameter updating device, electronic equipment, a storage medium and a product. Background In the virtual reality interaction scheme, the existing equipment often relies on a single acquisition equipment to acquire user action data, so that multidimensional information of user limb movement and hand fine movement is difficult to comprehensively capture, action data sources are unilateral, accuracy is insufficient, and equipment gesture and gesture recognition accuracy is limited, so that user interaction experience is poor. Disclosure of Invention The disclosure provides a parameter updating method, a device, electronic equipment, a storage medium and a product, which are used for solving the problems of limited equipment gesture and gesture recognition precision and poor user interaction experience caused by insufficient accuracy of user action data acquired by single acquisition equipment in the related technology. An embodiment of a first aspect of the present disclosure provides a parameter updating method, including: Acquiring user action data, wherein the user action data is acquired by at least two acquisition devices; Extracting user gesture data and user gesture data from the user action data; Determining a user gesture recognition score based on the user gesture data, and determining a user gesture recognition score based on the user gesture data; and updating the gesture recognition parameters of the virtual reality device according to the user gesture data in response to the user gesture recognition score being less than the first preset score, and in response to the user gesture recognition score being less than the second preset score. In one embodiment, obtaining user action data includes: acquiring interactive operation data of a user and virtual reality equipment; analyzing the interactive operation data to obtain a performance evaluation result of the virtual reality equipment; and responding to the performance evaluation result of the virtual reality equipment not smaller than the preset performance evaluation result, and acquiring user action data. In an embodiment, the interactive operation data includes a maximum frame rate of a transmission frame of the virtual reality device in an interactive monitoring period, a maximum delay time of a network, an average refresh rate of a display screen and an operation maximum temperature, and the analyzing the interactive operation data to obtain a performance evaluation result of the virtual reality device includes: determining a weight set, wherein the weight set comprises a first weight corresponding to the maximum frame rate of a transmission picture of the virtual reality equipment in an interaction monitoring period, a second weight corresponding to the maximum delay time of a network, a third weight corresponding to the average refresh rate of a display screen and a fourth weight corresponding to the highest operation temperature; and determining a performance evaluation result of the virtual reality equipment based on the weight set, the maximum frame rate of a transmission picture of the virtual reality equipment in the interactive monitoring period, the maximum delay time of the network, the average refresh rate of the display screen and the highest running temperature. In an embodiment, after analyzing the interactive operation data to obtain the performance evaluation result of the virtual reality device, the method provided by the disclosure further includes: And generating early warning prompt information aiming at the interactive operation of the virtual reality equipment in response to the performance evaluation result of the virtual reality equipment being smaller than the preset performance evaluation result, wherein the early warning prompt information comprises at least one of popping up performance abnormality warning information on a display screen of the virtual reality equipment and adjusting the refresh rate of the display screen of the virtual reality equipment. In one embodiment, extracting user gesture data and user gesture data from user action data includes: Extracting characteristics of the user action data to obtain user action characteristics associated with the user gesture and the user gesture; based on the user action characteristics, the actions of the user are analyzed, and user gesture data are obtained. In one embodiment, the user gesture data includes a head average tilt angle, an arm average motion speed, and a leg average motion speed of the user during the interaction, the user gesture data includes a finger average rotation angle and a gesture average motion speed of the user during the interaction, the determining the user gesture recognition score based on the user gesture data