Individual avatar with private cloud as a personal knowledge universe

Abstract

The invention utilizes an individual avatar with an n-dimensional personal cloud, based on artificial intelligence (AI) and connected to the metaverse. In the metaverse, the individual's reality merges with augmented reality (AR) and virtual reality (VR). Transferring knowledge and experience to a personal avatar with its own cloud is the logical next step. This makes it possible to delegate learning processes to an avatar, thereby expanding one's own knowledge base.

Description

[0001] The invention is based on the concept of an individual avatar with an n-dimensional private, non-public cloud ( Fig. The invention utilizes artificial intelligence (AI) in conjunction with the megaverse. The megaverse merges the individual's reality with augmented reality (AR) and virtual reality (VR). The next step is to transfer knowledge and experiences into a personal avatar with an individual, private cloud. This hermetically sealed cloud stores the individual's personality traits along with the avatar's knowledge gains from its communication with other avatars. The individual cloud is a database system to which only the individual has access. The invention is based on highly integrated, parallel chips, the use of adaptive algorithms, and the use of data glasses.

[0002] Virtual, movement-oriented actions in 3D space, for example, enable the storage of actions in images and the language accompanying the images via data glasses using generic AI processes. Learning actions are experienced sensorially through motor movements and transferred to the individual's long-term memory.

[0003] A learning algorithm with a neural structure continuously analyzes the user's individual characteristics, such as concentration, knowledge level, curiosity, emotional reactions, intellectual and cognitive abilities, as they acquire knowledge via the data glasses. These individual characteristics are transferred to the personal avatar's n-dimensional cloud. Using artificial intelligence, new learning content tailored to these characteristics, including customized query results, is compared with existing knowledge and skills and stored in the personal avatar's cloud. Fig. The algorithm continuously monitors changes in the individual's characteristics and continuously adapts them in the cloud.

[0004] Each adaptation step is the result of an interaction between the individual and the virtual 3D environment. The limited knowledge about the individual's reactions to the 3D environment leads to statistical uncertainty about the response to the next adaptation step. For example, it is not known with certainty which sensory or motor stimulus will next trigger the adaptation algorithm to adapt the individual's characteristics. The random sequence of input stimuli v leads to a correspondingly random sequence of adaptation steps. Denoted by w = (w r1 ,w r2 , ...w rn ) the set of all possible adaptation reactions of the individual, then each adaptation step A leads to an adaptation of the characteristics wneu=A(walt,v), where v is a random variable with a probability distribution that depends on the individual's current state. The equation does not define a deterministic sequence, but rather a stochastic process that can proceed differently each time, even with a fixed initial value of the individual's characteristics.

[0005] The adaptation algorithm continuously monitors the individual's response to the virtual 3D environment, including the success of learning processes. For this purpose, several target variables are compared. To define the target variables, the individual's behavioral patterns are broken down, restructured, and related to the individual's simultaneously observable psychological states (patterning).

[0006] The algorithm automatically adapts to the individual's current psychological state over the course of a learning process. Due to the multitude of possible interaction situations and individuals, the direction of adaptation is initially unknown. For this reason, the changes in the learning content presented in the virtual, movement-oriented 3D space are successively reviewed in relation to the individual's learning behavior, and only those that lead to improved acceptance of the learning process are selected.

[0007] A personal avatar can be freely selected from a catalog in terms of structure and shape and redesigned as needed. Another way to create a personal avatar is to use a 3D camera in front of which the person moves, thus shaping the avatar.

[0008] A virtual, individual 3D avatar with a personalized cloud and a self-learning algorithm for recognizing the individual's features can assign phonemes to speech. These phonemes, in turn, can be assigned visemes, or mouth positions. Voice analysis detects phonemes in real time, which are then transferred to the avatar as visemes. Voice and movement analysis also reveals emotional behavior during learning with virtual, movement-oriented actions in 3D space. The adaptive behavior algorithm then modifies the knowledge presentation, which is stored in the individual avatar's cloud. Lip synchronization can create a new level of behavioral realism, as what is spoken now matches the avatar's mouth positions when the stored knowledge is replayed.

[0009] The gestures are transmitted via a polygon mesh of the avatar. The first step is a file containing the movement activity of all human body parts, encompassing 60 coding dimensions.

[0010] A self-learning algorithm tracks the individual's gesture and calculates the avatar's gesture intention. Depending on the situation, the avatar can react independently of the individual. Nonverbal communication with other avatars is thus possible.

[0011] If an individual uses artificial intelligence to search the internet for publications that match their individual characteristics or interest, the results are stored in their personal avatar's cloud. The individual can review the results again if necessary and link them to other findings.

[0012] Virtual movements of actions in 3D space are directly and adaptively linked, sensorially and motorically, to the individual's behavior in the learning process (knowledge acquisition, acceptance, and processing). Experiences (skills) such as rituals or routines can be stored in the avatar cloud via images or voice input using artificial intelligence, according to personality traits. The individual avatar develops into a cosmos of knowledge and experience for the individual, accessible at any time.

[0013] Routines, which also include experiences, oscillate between the conscious and the unconscious, thus belonging to a shared psychic sphere. When movement-related actions are performed in virtual 3D spaces, they initially proceed very consciously, involving existing experiences and routines. These conscious processes then sink into the unconscious, which can be retrieved via the personal cloud.

[0014] Acquiring knowledge through the integration of virtual 3D reality therefore offers learners the opportunity to actively understand the presented knowledge content manually, reflect on it, and thus translate it into their own meanings and thought processes, connecting them with their own experiences and emotions. This enables them to develop new ideas or solve problems more successfully.

[0015] Based on the personality traits of the individual assigned to it, the personal avatar can use AI to search the various networks according to the individual’s interests ( Fig. ) and save the results in the personal cloud. The individual's knowledge cosmos expands.

[0016] The combination of avatar and personal cloud increases the motivation to explore the virtual world using data glasses and thus also increases creativity.

[0017] The individual's ideas can be tracked by the avatar using AI, compared with the personal cloud and represented with a digital model.

[0018] The personal cloud is hermetically protected by a multi-layered firewall. If the firewall is breached, the cloud's connection to the internet, Megaverse, and Avatar is disrupted via GHz waves. List of reference symbols 1 individual 2 personal avatar 3 personal cloud 4 virtual 3D space 5 adaptive adaptation algorithm 6 adaptive adaptation algorithm 7 Algorithm for exploring AI networks based on the individual’s interests 8 Knowledge cosmos in the personal cloud

Claims

[1] Combination of individual with personal avatar and personal cloud [2] Acquisition of knowledge in 3D space [3] Learning algorithm for the continuous analysis of the individual’s personal characteristics [4] Independent research of knowledge by an avatar according to the interests and tasks of the individual associated with it [5] Protection of personal data in the cloud when breaching the firewall using high-frequency coils [6] Retrieving forgotten knowledge in the personal cloud

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