Tour guide assistance system

Abstract

The present invention provides a tour guide assistance system includes a user terminal, a positioning module, a points—of—interest (POI) database, a context—aware module, an augmented reality (AR) processing module, and a personalized recommendation engine. The system operates by acquiring a user's real—time geographical location and ambient environmental data via the positioning and context-aware modules. The AR processing module synthesizes this data to retrieve and generate highly relevant AR tour content from the POI database, which is then overlaid onto the live feed of the user terminal. The personalized recommendation engine tailors the depth, theme, and presentation style of the content based on a dynamically updated user profile. This invention addresses the limitations of conventional guide systems, such as static content, lack of environmental context, and poor personalization, by delivering an immersive and adaptive touring experience.

Description

FIELD OF THE INVENTION The present invention pertains to the eld of smart tourism and human-computer interaction. More specically, it relates to an intelligent utilizing augmented reality (AR) technology and context-aware computing. DESCRIPTION OF THE RELATED ART Traditional tour guiding methods, such as human guides, paper maps, and pre-recorded audio guides, are increasingly failing to meet tourists' demands for personalized and immersive experiences. Existing technological solutions suffer from several drawbacks: Static and Non-Interactive Content: Pre-recorded audio or text descriptions are uniform for all users and cannot dynamically adapt to a tourists real-time location or moment-to-moment interests, leading to a monotonous experience. Lack of Environmental Context: Conventional systems are incapable of perceiving realtime environmental changes (e.g., weather, crowd density, temporary events) and thus cannot provide relevant information tied to the immediate context. For instance, they cannot suggest an indoor route during rain or narrate a related story. Low Personalization: It is difcult for these systems to provide differentiated content depth and themes tailored to tourists of varying ages, knowledge backgrounds, and interests. Non-Intuitive Guidance: Traditional 2D map navigation requires users to mentally map directions onto the 3D real world, which can be confusing and lead to disorientation. While locationbased audio guide applications that trigger playback upon reaching a geofence have emerged, they essentially follow a simple "triggerand-play" model. They lack intelligent synergy between content and environment, as well as immersive interaction. Therefore, there is a signicant need for a guide system that can understand the environment, perceive the context, and provide personalized AR interaction. BRIEF SUMMARY OF THE INVENTION The objective of this invention is to overcome the deciencies of the prior art by providing an intelligent capable of realtime context awareness, delivering immersive AR interaction, and providing personalized content recommendations. Technical Solution: To achieve the above objective, the present invention provides a comprising a user terminal, a positioning module, a points-of-interest (POI) database, a contextaware module, an AR processing module, and a personalized recommendation engine. . The user terminal (e.g., smartphone, AR glasses) serves as the interface for presenting content and receiving input. . The positioning module (e.g., GPS, WiFi, Bluetooth beacons) acquires the user's precise real-time location. . The POI database stores rich, tagged multimedia guide data (text, images, 3D models, audio, video) associated with specic locations and context tags (e.g., "sunny-weather," "night-view," "childfriendly"). . The context-aware module (e. g., camera, microphone, ambient light sensor, weather API) collects real-time environmental data such as recognized objects, crowd density, noise levels, and weather conditions. . The AR processing module, the core of the system, synthesizes data from the positioning and context-aware modules. It retrieves contextually relevant guide data from the POI database and generates AR content (e.g., virtual labels, 3D reconstructions, informational overlays) for display on the user terminal's live feed. . The personalized recommendation engine builds a user prole from behavior data (dwell time, content preferences) and inuences the AR processing module to tailor the content's theme, depth, and presentation style. The present invention offers the following benets over prior art: l. Context Awareness and Intelligent Response: The system intelligently links guide content to the real-time environment, signicantly enhancing relevance and engagement. 2.1mmersive Interaction: AR technology seamlessly blends virtual information with the real world, providing an intuitive and captivating guiding experience. 3. High Personalization: Content is dynamically adapted based on user prole, achieving a "one-size-ts-one" guided tour. 4. Integrated Functionality and Extensibility: The system can integrate peripheral services (dining, transportation) and is modular for easy expansion. BRIEF DESCRIPTION OF THE DRAWINGS Figure 1 is a structural block diagram illustrating the according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS Embodiments of the present invention are described below with reference to the drawings. Embodiment 1: Referring to Figure l, the system is implemented on a smartphone. A user grants the application permissions for location, camera, and microphone access. . The positioning module continuously tracks the users location via GPS. . Upon determining the user has entered a specic area (e.g., the plaza of the Temple of Heaven's Hall of Prayer for Good Harvests), the context-aware module activates. . The camera captures the live video feed. The AR processing module, using its image recognition unit, identies a specic artifact (e.g., a "bronze censer") and a high level of crowd density. . Based on the location ("Hall of Prayer"), the identied object ("censer"), and the context ("crowded"), the AR processing module queries the POI database. The query prioritizes content related to the censer that is concise (suited for short stops) and rich in graphics. . Simultaneously, the personalized recommendation engine, if it classies the user as a "rst-time visitor," selects foundational information. For a "history enthusiast," it would select more detailed historical analysis. . The AR processing module generates AR content: an information box appears over the real-world censer in the smartphone's display, showing concise text and diagrams explaining its purpose, accompanied by clear audio narration. Embodiment 2: In another embodiment, the user employs AR glasses as the terminal. When the user approaches a pathway intersection: . The positioning module conrms the location. . The AR processing module, aware of the user's itinerary (e.g., next target is the NineDragon Wall), generates a virtual, animated arrow indicator superimposed directly onto the real pavement in the user's eld of view. . The context-aware module, via a microphone or weather API, detects the onset of rain. . The AR processing module immediately generates a notication in the AR display: "Pavilion ahead for shelter, with a story about this spot, and adjusts the navigation path to guide the user to the shelter. The descriptions above are merely specic embodiments of the present invention, but the protection scope is not limited thereto. Any modication or substitution easily conceivable by those skilled in the art within the technical scope disclosed herein shall fall within the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the appended claims.

Claims

1. A travel guide support system, comprising: a user terminal that is configured to present travel content and to receive user input; a positioning module configured to provide real-time geographic location data obtainable from a user; a database of points of interest in which multimedia guide data is stored that are linked to multiple attractions; a context-aware module that is configured to receive real-time environmental information from the to collect from the user's environment, where the environmental information contains at least one of the following: visual data, auditory data or data on environmental conditions; and an augmented reality (AR) processing module, which is operationally connected to the positioning module, the context-aware module and the database of points of interest, and those is configured to: to determine the user's current point of interest based on the geographical location data; based on the environmental information guide data from the database of points of interest to retrieve that relate to the current environmental context; and to generate AR travel content and display it as an overlay on a live video feed of the user terminal 2. The system of conclusion 1, where: the context-aware module comprises a camera and an image recognition unit, whereby the environmental information visual data are; The image recognition unit is configured to at least one of the following identify from a real-time video stream: a specific object, a crowd density or a gesture of the user; and the AR processing module is further configured to: to retrieve historical information regarding the identified specific object, or to adjust the level of detail of the guide content based on the identified crowd density.

3. The system of conclusion 1, where: the context-aware module includes a microphone and an audio analysis unit, whereby the environmental information auditory data are; The audio analysis unit is configured to perform at least one of the following identify: an ambient noise level or a specific audio event; and the AR processing module is further configured to a spoken narrative about switch to a text-based prompt on the user terminal when the ambient noise level exceeds a preset threshold.

4. The system of conclusion 1, further comprising a service integration module that is configured to provide information and booking interfaces for nearby services, including dining, shopping and transport, to push to the user terminal based on the geographical location of the user and the environmental context.

5. The system of claim 1, where the user terminal is one of the following: a smartphone, augmented reality glasses or a tablet computer. User Terminal Points of Interest Personalized Positioning Module Context-Aware (POI) Database Recommendation Engine Module Module (POI) Database Module AR Processing Module Present AR Tour Content FIG.1