Claims:As claimed in:
1. A system for recommending a customized media content to an end-user in a computer-simulated travel environment, comprising:

a wearable computing device 102 configured to capture one or more essential parameters of an end-user, whereby the one or more essential parameters are configured to recommend at least one media content to the end-user by the end-user device 106;

a database 110 configured to store the one or more essential parameters and the at least one media content, the database 110 comprising a staging area data store 112 configured to store the personal information of the end-user and also the one or more essential parameters structured in the staging area data store 112 for the analysis by the end-user device 106; and

a media content endorsement module 108 comprising computer-executable instructions, that when executed, instruct the at least one end-user device 106 to carry out the unified travel experience conducted within the computer simulated travel environment, the media content endorsement module 108 configured to analyze the structured essential parameters and assess the stress level and the anxiety level of the end-user, the media content endorsement module 108 further configured to analyze the current mood and personalization data of the end-user to predict the unified travel experience.

2. The system as claimed in 1, wherein the wearable computing device 102 configured to transfer the one or more essential parameters to the end-user device 106 and the database 110.

3. The system as claimed in 1, wherein the media content endorsement module 108 comprising an analyzation module 202 configured to analyze the one or more essential parameters captured by the wearable computing device 102.
4. The system as claimed in 1, wherein the media content endorsement module 108 further comprising a data pre-processing module 204 configured to perform the processing of one or more essential parameters.

5. The system as claimed in 4, wherein the data pre-processing module 204 further configured to predict the mood of the end-user.

6. The system as claimed in 1, wherein the media content endorsement module 108 comprising a content management module 206 configured to analyze the current mood and the personalized data of the end-user.

7. The system as claimed in 6, wherein the content management module 206 further configured to predict the kind of media content needs to be recommended to the end-user.

8. The system as claimed in 6, wherein the content management module 206 further configured to score the media content with the similar profiles of the end-user.

9. The system as claimed in 1, wherein the media content endorsement module 108 further comprising an enhancement module 207 configured to improve the recommendation of one or more media contents to the end-user in real-time.

10. The system as claimed in 1, wherein the media content endorsement module 108 comprising a personalized data delivery module 208 configured to create the profiles with the personalized data based on the activities of the end-user.

11. The system as claimed in 1, wherein the media content endorsement module 108 comprising a presentation module 210 configured to display the at least one media content recommended by the end-user device 106 via the network 104.

12. The system as claimed in 11, wherein the presentation module 210 further configured to assess the impact of the at least one media content recommended by the end-user device 106 for unified travel experience in real-time.

13. The system as claimed in 11, wherein the presentation module 210 further configured to refine the at least one media content recommended by the end-user device 106 based on the analysis of the one or more essential parameters in real-time.

14. A method for recommending a customized media content to an end-user in a computer-simulated travel environment, comprising:

capturing one or more essential parameters of an end-user by a wearable computing device 102;

transferring the one or more essential parameters to an end-user device 106 via a network 104 from the wearable computing device 102;

analyzing the one or more essential parameters to assess the stress level, the anxiety level, and predicting the mood of the end-user by a media content endorsement module 108;

analyzing the current mood and personalization data of the end-user to predict the kind of unified travel experience to the end-user by the media content endorsement module 108; and

recommending a customized media content to the end-user for experiencing the unified travel experience based on the real-time captured essential parameters.

15. The method as claimed in 14, further comprising a step of scoring, refining, and ranking the recommended media content with a plurality of similar profiles.

16. The method as claimed in 14, further comprising a step of assessing the impact of displayed media content through the wearable computing device 102 in real-time.

17. A computer program product comprising a non-transitory computer-readable medium having a computer-readable program code embodied therein to be executed by one or more processors, the program code including instructions to:

capture one or more essential parameters of an end-user by a wearable computing device 102;

transfer the one or more essential parameters to an end-user device 106 via a network 104 from the wearable computing device 102;

analyze the one or more essential parameters to assess the stress level, the anxiety level, and predicting the mood of the end-user by a media content endorsement module 108;

analyze the current mood and personalization data of the end-user to predict the kind of unified travel experience to the end-user by the media content endorsement module 108; and

recommend a customized media content to the end-user for experiencing the unified travel experience based on the real-time captured essential parameters. , Description:TECHNICAL FIELD

[001] The disclosed subject matter relates generally to the field of recommending customized media content. More particularly, the present disclosure relates to a system and method for recommending customized media content to an end-user by analyzing the health, physical, social and environmental parameters captured by a wearable computing device.

BACKGROUND

[002] Generally, a computing device includes a display to provide visual output media content for the user. Virtual reality or augmented reality and mixed reality environments are computer simulated realities that replicate real or imagined environments. Those simulated environments are related to travelling and tourism media contents. The traveling typically involves physical travelling and virtual travelling to the desired destinations of the traveler. Many people would love to travel a lot more than they actually do, but they cannot afford the money, time and/or energy. Physical abilities may also take part in travelling to the extreme locations and the busy individuals cannot get the time to reach the destinations which take one or more days to travel.

[003] The travelling can improve person’s overall health and enhance the creativity. It is important for people to take time out from their daily tasks and hectic schedule to travel at least once in a year. However, this approach of taking one or two vacations in a year is a loss of numerous opportunities if there is an alternative available, which promises better experiences at a faster pace and fraction of the cost. Various experiments reveal that the influence of interactive experience in the physical world have a tremendous effect on mood and stress level of a user. Conventional solutions conduct mood analysis by having a subject undergo in-user psychological testing. But the conventional solutions do not provide functionality for user control of collecting mood data as inputs to the computing device. In the current trends, the virtual travelling experience systems are non-personalized and have a poor user interface. Hence, there is a need for travelling experience systems to provide a unified travel experience to the users by analyzing the health, Physical , Social and Environmental parameters captured by a wearable device or other IoT monitoring systems.

[004] In the light of the aforementioned discussion, there exists a need for a certain system with novel methodologies that would overcome the above-mentioned disadvantages.

SUMMARY

[005] The following presents a simplified summary of the disclosure in order to provide a basic understanding of the reader. This summary is not an extensive overview of the disclosure and it does not identify key/critical elements of the invention or delineate the scope of the invention. Its sole purpose is to present some concepts disclosed herein in a simplified form as a prelude to the more detailed description that is presented later.

[006] An objective of the present disclosure is directed towards the ensuring peace of mind and aiding to get original and creative thoughts.

[007] Another objective of the present disclosure is directed towards enhancing the range of the user’s knowledge, understanding, or experience travel can help to broaden horizons.

[008] Exemplary embodiments of a system and method for recommending a customized media content to an end-user in a computer-simulated travel environment.

[009] According to an exemplary aspect, the system comprising a wearable computing device configured to capture one or more essential parameters of an end-user, the one or more essential parameters are configured to recommend at least one media content to the end-user by the end-user device.

[0010] According to another exemplary aspect, the system further comprising a database configured to store the one or more essential parameters and the at least one media content, the database comprising a staging area data store configured to store the personal information of the end-user and also the one or more essential parameters structured in the staging area data store for the analysis by the end-user device.

[0011] According to another exemplary aspect, a media content endorsement module comprising computer-executable instructions, that when executed, instruct the at least one end-user device to carry out the unified travel experience conducted within the computer simulated travel environment, the media content endorsement module configured to analyze the structured essential parameters and assess the stress level and the anxiety level of the end-user, the media content endorsement module further configured to analyze the current mood and personalization data of the end-user to predict the unified travel experience.

BRIEF DESCRIPTION OF THE DRAWINGS

[0012] FIG. 1 is a block diagram depicting an example environment in which aspects of the present disclosure can be implemented. Specifically, FIG. 1 is a block diagram depicting a schematic representation of a unified travel experience environment, in accordance with one or more embodiments.

[0013] FIG. 3 is a flowchart depicting an exemplary method for recommending media content to the end-user via the end-user device, in accordance with one or more embodiments.

[0014] FIG. 4 is a flowchart depicting an exemplary method for displaying the recommended media content to the end-user by the end-user device, in accordance with one or more embodiments.

[0015] FIG. 5 is a flowchart depicting an exemplary method for processing the essential parameters by the media content endorsement module, in accordance with one or more embodiments.

[0016] FIG. 6, is a block diagram illustrating the details of a digital processing system in which various aspects of the present disclosure are operative by execution of appropriate software instructions.

DETAILED DESCRIPTION OF EXAMPLE EMBODIMENTS

[0017] It is to be understood that the present disclosure is not limited in its application to the details of construction and the arrangement of components set forth in the following description or illustrated in the drawings. The present disclosure is capable of other embodiments and of being practiced or of being carried out in various ways. Also, it is to be understood that the phraseology and terminology used herein is for the purpose of description and should not be regarded as limiting.

[0018] The use of “including”, “comprising” or “having” and variations thereof herein is meant to encompass the items listed thereafter and equivalents thereof as well as additional items. The terms “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced item. Further, the use of terms “first”, “second”, and “third”, and the like, herein do not denote any order, quantity, or importance, but rather are used to distinguish one element from another.

[0019] Referring to FIG. 1 is a block diagram 100 depicting an example environment in which aspects of the present disclosure can be implemented. Specifically, FIG. 1 is a block diagram 100 depicting a schematic representation of a unified travel experience environment, in accordance with one or more embodiments. The unified travel experience environment 100 provides the unified travel experience based on the essential parameters of the end-user. The unified travel experience may include but is not limited to, a virtual reality experience, augmented reality experience, mixed reality experience, and so forth. The essential parameters may include but are not limited to, health parameters, physical parameters, social and environmental parameters, and so forth. The environment 100 depicting a wearable computing device 102, a network 104, an end-user device 106, and a media content endorsement module 108, a database 110 and a staging area data store 112. The end-user device 106 may be operated by an end-user. The end-user may include but is not limited to, a traveler, an explorer, a voyager, a tourist, an adventurer, a vacationer, a character, a hero, a central character, an experience seeker, people, visitors, celebrities, locals, partners, companions, and so forth. The end-user device 106 may include but is not limited to, a personal digital assistant, a smart phone, a personal computer, a mobile station, computing tablets, a handheld device, an internet enabled calling device, an internet enabled calling software, a telephone, a mobile phone, a digital processing system, and so forth. The network 104 may include but is not limited to, an Internet of things (IoT network devices), an Ethernet, a wireless local area network (WLAN), or a wide area network (WAN), a Bluetooth low energy network, a ZigBee network, a WIFI communication network e.g., the wireless high speed internet, or a combination of networks, a cellular service such as a 4G (e.g., LTE, mobile WiMAX) or 5G cellular data service, a RFID module, a NFC module, wired cables and the like without limiting the scope of the present disclosure.

[0020] The end-user device 106 may be configured to enable the communication with the wearable computing device 102 via the network 104. The wearable computing device 102 may include but not limited to, a digital watch, wireless and/or cellular telephones, smart telephones, personal digital assistants (PDAs), wrist-worn devices, and the like. The wearable computing device 102 may be an Internet of things (IoT) health monitoring device. The wearable computing device 102 may be configured to capture the essential parameters of the end-user. The essential parameters may include but not limited to, the stress level, the anxiety level, mood (inquisitive mood, for e.g.), and the like. For example, the end-user device 106 is configured to play a media content when the mood data indicates the end-user in an inquisitive mood. The essential parameters may be analyzed by the media content endorsement module 108. The media content endorsement module 108 comprises machine learning algorithms. The essential parameters may be shared with the third-party applications and other organizations through an application programming interface (API).

[0021] The wearable computing device 102 may also be configured to assess the essential parameters of the end-user. The wearable computing device 102 may transfer the captured and assessed essential parameters to the end-user device 106 and/or the database 110. The media content endorsement module 108 may be configured to recommend the media content to the end-user based on the essential parameters captured by the wearable computing device 102. The media content endorsement module 108 may be accessed by an end-user after providing the identity credentials. The identity credentials may include but are not limited to, a login ID, and user ID, a password, a pin number, and the like. The media content endorsement module 108 may be referred to as web-based servers, remote servers, and so forth. The media content endorsement module 108 may be configured to be used as a web-based application or mobile-based application to the end-user device 106.
[0022] The database 110 may include the essentials for the media content endorsement module 108 to perform actions using each module. Information such as images, videos, metadata (weather, trails, travel essentials, landmarks, routes, maps, etc.), recorded files, may be stored in the database 110. The database 110 may include the information such as the filtered content, the curated content, the metadata, booking services, and the community data of community users, and so forth. The filtered content and the curated content may include but not limited to, information about the place, relevant tourism data, local conditions, and so forth. The metadata may include but not limited to, weather, trails, travel essentials, landmarks, routes, curated itineraries, local guides, time and forecasting, and so forth. The booking services may include but not limited to, Flight, Bus, Local Travels, hotels, local activities, merchants, website, packages, shops, buy travel services and the like. The community users may include but not limited to, visitors, celebrities, locals, authentic local groups, cultural centers, tourism boards, local vendors, tour operator’s guides, contributors, promoters, and so forth. The staging area data store 112 may be configured to store the information of the end-user (For example, health monitoring data, essential parameters, raw data) captured by the wearable computing device 102. The essential parameters may be structured in the staging area data store 112 for the analysis.

[0023] Referring to FIG. 2 is a block diagram 200 depicting the media content endorsement module 108 shown in FIG. 1, in accordance with one or more exemplary embodiments. The media content endorsement module 108 may be configured to recommend the customized media content to the end-user based on the captured essential parameters by the wearable computing device 102. The media content may provide the unified travel experience to the end-user via the end-user device 106. The media content endorsement module 108 may include an analyzation module 202, a data pre-processing module 204, a content management module 206, an enhancement module 207, a personalized data delivery module 208 and a presentation module 210. The analyzation module 202 may be configured to analyze the essential parameters captured by the wearable computing device 102. The data pre-processing module 204 may be configured to perform the processing of essential parameters and to assess the anxiety level and the stress level of the end-user. The data pre-processing module 204 may also be configured to predict the mood of the end-user. The content management module 206 may be configured to analyze the current mood and the personalized data of the end-user. The personalized data may include but not limited to, health monitoring data. The content management module 206 may be configured to predict the kind of media content needs to be recommended to the end-user. The content management module 206 may also be configured to store the media content with the similar profile of the end-user. The similar profile of end-user may include but not limited to, same interests, plans, policies, campaigns, programs, and the like. The enhancement module 207 may be configured to improve the recommendation of the media content to the end-user in real-time. The personalized data delivery module 208 may be configured to create the profiles with the personalized data based on the activities of the end-user. The presentation module 210 may be configured to display the media content recommended by the end-user device 106 via the network 104. The presentation module 210 may also be configured to assess the impact of media content recommended by the end-user device 106 for the unified travel experience to the end-user in real-time. The presentation module 210 may also be configured to refine the media content recommended by the end-user device 106 based on the analysis of the essential parameters in real-time.

[0024] Referring to FIG. 3 is a flowchart 300 depicting an exemplary method for recommending media content to the end-user via the end-user device, in accordance with one or more embodiments. As an option, the method 300 is carried out in the context of the details of FIG. 1, and FIG. 2. However, the method 300 is carried out in any desired environment. Further, the aforementioned definitions are equally applied to the description below.

[0025] The exemplary method 300 commences at step 302, allowing the end-user to capture the essential parameters by the wearable computing device. Thereafter, at step 304, analyzing the captured essential parameters to assess the stress level, anxiety level of the end-user. Thereafter, at step 306, predicting the mood of the end-user by analyzing the essential parameters captured by the wearable computing device. Thereafter, at step 308, analyzing the current mood and personalization data of the end-user. Thereafter, at step 310, predicting the kind of unified travel experience to the end-user based on the analyzed current mood and personalized data. Thereafter, at step 312, suggesting the customized media content to the end-user for experiencing the unified travel experience. Thereafter, at step 314, scoring, refining, and ranking the recommended media content with the similar profiles. Thereafter, at step 316, displaying the recommended media content to the end-user by the end-user device. Thereafter, at step 318, assessing the impact of displayed media content through the wearable computing device in real-time. Thereafter, at step 320, analyzing the recommended media content and ranking the media content again based on real-time essential parameters of the end-user. Thereafter, at step 322, recommending the media content to the end-user for experiencing the unified travel experience based on the captured essential parameters.

[0026] Referring to FIG. 4 is a flowchart 400 depicting an exemplary method for displaying the recommended media content to the end-user by the end-user device, in accordance with one or more embodiments. As an option, the method 400 is carried out in the context of the details of FIG. 1, FIG. 2 and FIG. 3. However, the method 400 is carried out in any desired environment. Further, the aforementioned definitions are equally applied to the description below.

The exemplary method 400 commences at step 402, wherein capturing the essential parameters of the end-user by the wearable computing device. Thereafter, at step 404, transferring the captured essential parameters to the end-user device via the network. Thereafter, at step 406, analyzing the essential parameters to assess the stress level and the anxiety level by the media content endorsement module. Thereafter, at step 408, predicting the mood of the end-user based on the assessed stress level and the anxiety level. Thereafter, at step 410, analyzing the current mood and personalized data by media content endorsement module. Thereafter, at step 412, predicting the media content to recommend the end-user by the media content endorsement module. Thereafter, at step 414, displaying the recommended media content by the end-user device for the unified travelling experience to the end-user.

[0027] Referring to FIG. 5 is a flowchart 500 depicting an exemplary method for processing the essential parameters by the media content endorsement module, in accordance with one or more embodiments. As an option, the method 500 is carried out in the context of the details of FIG. 1, FIG. 2 FIG. 3, and FIG. 4. However, the method 500 is carried out in any desired environment. Further, the aforementioned definitions are equally applied to the description below.

[0028] The exemplary method 500 commences at step 502, capturing the essential parameters of the end-user by the wearable computing device. Thereafter, at step 504, transferring the captured essential parameters to the end-user device and/or the database via the network from the wearable computing device. Thereafter, at step 506, structuring the essential parameters in a staging area data store and/or the end-user device. Thereafter, at step 508, processing the essential parameters from the wearable computing device by the media content endorsement module.

[0029] Referring to FIG. 6, FIG. 6 is a block diagram 600 illustrating the details of digital processing system 600 in which various aspects of the present disclosure are operative by execution of appropriate software instructions. Digital processing system 600 may correspond to the end-user device 104 (or any other system in which the various features disclosed above can be implemented).

[0030] Digital processing system 600 may contain one or more processors such as a central processing unit (CPU) 610, random access memory (RAM) 520, secondary memory 530, graphics controller 660, display unit 670, network interface 680, an input interface 690. All the components except display unit 670 may communicate with each other over communication path 650, which may contain several buses as is well known in the relevant arts. The components of Figure 6 are described below in further detail.

[0031] CPU 610 may execute instructions stored in RAM 620 to provide several features of the present disclosure. CPU 610 may contain multiple processing units, with each processing unit potentially being designed for a specific task. Alternatively, CPU 610 may contain only a single general-purpose processing unit or can be a part of Cloud processing Unit.

[0032] RAM 620 may receive instructions from secondary memory 630 using communication path 650. RAM 620 is shown currently containing software instructions, such as those used in threads and stacks, constituting shared environment 625 and/or user programs 626. Shared environment 625 includes operating systems, device drivers, virtual machines, etc., which provide a (common) run time environment for execution of user programs 626.

[0033] Graphics controller 660 generates display signals (e.g., in RGB format) to display unit 670 based on data/instructions received from CPU 710. Display unit 670 contains a display screen to display the images defined by the display signals. Input interface 690 may correspond to a keyboard and a pointing device (e.g., touch-pad, mouse) and may be used to provide inputs. Network interface 680 provides connectivity to a network (e.g., using Internet Protocol), and may be used to communicate with other systems (such as those shown in Figure 1, network 104) connected to the network.

[0034] Secondary memory 630 may contain hard drive 635, flash memory 636, and removable storage drive 637. Secondary memory 630 may store the data software instructions (e.g., for performing the actions noted above with respect to the Figures), which enable digital processing system 600 to provide several features in accordance with the present disclosure.

[0035] Some or all of the data and instructions may be provided on removable storage unit 640, and the data and instructions may be read and provided by removable storage drive 637 to CPU 610. Floppy drive, magnetic tape drive, CD-ROM drive, DVD Drive, Flash memory, removable memory chip (PCMCIA Card, EEPROM) are examples of such removable storage drive 637.

[0036] The removable storage unit 640 may be implemented using medium and storage format compatible with removable storage drive 637, or a cloud storage such that removable storage drive 637 can read the data and instructions. Thus, the removable storage unit 640 includes a computer -readable (storage) medium having stored therein computer software and/or data. However, the computer (or machine, in general) readable medium can be in other forms (e.g., non-removable, random access, etc.).

[0037] In this document, the term "computer program product" is used to generally refer to the removable storage unit 640 or hard disk installed in hard drive 635. These computer program products are means for providing instructions to digital processing system 600. CPU 610 may retrieve the software instructions, and execute the instructions to provide various features of the present disclosure described above.

[0038] The term “storage media/medium” as used herein refers to any non-transitory media that store data and/or instructions that cause a machine to operate in a specific fashion. Such storage media may comprise non-volatile media and/or volatile media. Non-volatile media includes, for example, optical disks, magnetic disks, or solid-state drives, such as secondary memory 630. Volatile media includes dynamic memory, such as RAM 620. Common forms of storage media include, for example, a floppy disk, a flexible disk, hard disk, solid-state drive, magnetic tape, or any other magnetic data storage medium, a CD-ROM, any other optical data storage medium, any physical medium with patterns of holes, a RAM, a PROM, and EPROM, a FLASH-EPROM, NVRAM, any other memory chip or cartridge.

[0039] Storage media is distinct from but may be used in conjunction with transmission media. Transmission media participates in transferring information between storage media. For example, transmission media includes coaxial cables, copper wire and fiber optics, including the wires that comprise bus 650. Transmission media can also take the form of acoustic or light waves, such as those generated during radio-wave and infra-red data communications.

[0040] More illustrative information will now be set forth regarding various optional architectures and uses in which the foregoing method may or may not be implemented, as per the desires of the auto system/user. It should be strongly noted that the following information is set forth for illustrative purposes and should not be construed as limiting in any manner. Any of the following features may be optionally incorporated with or without the exclusion of other features described.

[0041] Furthermore, the described features, structures, or characteristics of the disclosure may be combined in any suitable manner in one or more embodiments. In the above description, numerous specific details are provided such as examples of programming, software modules, user selections, network transactions, database queries, database structures, hardware modules, hardware circuits, hardware chips, etc., to provide a thorough understanding of embodiments of the disclosure.
[0042] Thus the scope of the present disclosure is defined by the appended claims and includes both combinations and sub-combinations of the various features described hereinabove as well as variations and modifications thereof, which would occur to persons skilled in the art upon reading the foregoing description.