Method for dynamically adjusting game content

Abstract

The invention discloses a method for dynamically adjusting game content, and relates to the field of motion sensing games. Comprising the steps of collecting information such as game performance and operation habits of players, dynamically adjusting game content after analysis, and providing personalized game experience more suitable for the players. According to current physiological indexes (including but not limited to gender, age, heart rate, blood oxygen concentration, current game action intensity, scene, personal physical state, mental appearance and the like) data of a player, a motion data model and a physiological feature model with similar signs and the same gender and the same age group in a database are referred to; and in combination with a motion data model and a physiological feature model of the player, dynamically adjusting actions, levels, strength and difficulty in motion according to the real-time physical state of the player. The problem that the game is single and lacks interestingness and randomness due to the fact that the level, the plot and the strength in the motion sensing game are fixed and rigid and lack of changes is solved.

Description

Technical Field

[0001] The present invention relates to the field of somatosensory games, and particularly to a method for dynamically adjusting game content. Background Art

[0002] Existing somatosensory games generally have fixed and single game content, which cannot meet the diverse needs of players during the game. Therefore, a method is designed to dynamically adjust game content according to players' performance and preferences, so as to provide a more challenging and fun sports experience, and specifically analyze and train the physical fitness weaknesses of players. Summary of the Invention

[0003] To solve the above problems encountered in somatosensory game sports, the present invention provides a method for customizing game content based on data feedback from players.

[0004] To achieve this purpose, the technical solution adopted by the present invention is as follows: A method for dynamically adjusting game content, at least including: collecting players' performance and preferences in the game, monitoring players' physical conditions and movement situations, transmitting players' movement data and physiological index data to a computing center for calculation and matching, and the data of various personal physiological indexes include but are not limited to height, weight, gender, breathing frequency, etc. Dynamically adjust the movement frequency, design action combinations, action intensities, etc. according to this information to provide players with a personalized game experience.

[0005] The characteristics of the present invention are: After receiving data such as players' gender, age, breathing frequency, current movement duration, movement intensity, etc., the computing center refers to the movement data models and physiological characteristic models of the same gender, same age group, and similar physical signs in the data warehouse, combines the players' own movement data and physiological characteristics, and formulates appropriate level types and difficulties according to the players' real-time physical states.

[0006] The beneficial effects of the present invention are: The present invention dynamically adjusts the game plan by real-time adjusting actions, levels, and difficulties in the game, and provides a more challenging, interesting, scientific, and reasonable sports experience. Brief Description of the Drawings

[0007] Figure 1 It is a flowchart of a method for dynamically adjusting game content provided by the patent of this application.

[0008] Among them, 1. Collect and analyze players' data; 2. Match personalized movement models; 3. Adjust movement parts, movement intensities, etc. to form a game plan; 4. Feedback to the game to dynamically adjust the game. Detailed Embodiments

[0009] The method for dynamically adjusting game content of the present invention includes the following steps:

[0010] Step 1: Continuously collect the player's motion data, including but not limited to the player's game performance data, motion progress data, motion preference data, etc.

[0011] Step 2: Analyze the player's performance and preferences based on the collected data, and establish a personalized motion model for the player.

[0012] Step 3: Dynamically adjust the motion frequency, design action combinations, action intensity, etc. according to the player's personalized motion model to form a game plan.

[0013] Step 4: Feed back to the game and instantaneously make strategic adjustments to the game process.

[0014] Through the method of the present invention, the motion content can be dynamically adjusted according to the actual capabilities and preferences of the player, providing a more challenging, more interesting, and more scientific and reasonable motion experience.

Claims

1. A method for dynamically adjusting game content, comprising: Steps to collect game movement data of players; Build a personalized motion model for players; Dynamically adjust game content such as exercise frequency, design action combinations, action intensity, etc. Collect players' feedback on the dynamically adjusted motion content and continuously optimize the motion model. Through continuous feedback and adjustment, the game experience of players is improved.

2. The method for collecting player's motion data according to claim 1, characterized in that: Through the depth camera to collect video or images, build a skeleton model, collect the player's motion data, calculate the amount of movement and fatigue level of body parts, and transmit the motion data and calculation results to the background for the next step of calculation.

3. The method for establishing a personalized motion model of a player according to claim 1, characterized in that: Analyze the collected motion data and calculation results, combine them with the player's previous game performance and preferences, establish the player's personalized motion model, and guide the game adjustment plan based on the player's personalized motion model.

4. The method for dynamically adjusting game content according to claim 1, characterized in that: Dynamically adjust exercise frequency, design action combinations, action intensity, etc., and reflect the results in the game to generate matching game content.

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