System and method for assisting individuals with attention-deficit / hyperactivity disorder (ADHD)

Abstract

The present disclosure discloses an attention system and method for users with attention- deficit / hyperactivity disorder (ADHD), the system (100) comprises a server (102) configured to manage tasks and enable communication between a mobile application (104) and remote devices (106) over a wireless communication medium (108) The system includes a patient identification and registration module (115) for user authentication, a patient input module (116) to collect preferences, and a task presentation module (101) for delivering attention tasks in multiple formats. An automated scoring module (105) tracks performance metrics and provides real-time feedback, while an adaptive module (110) adjusts task complexity based on user performance. The system offers personalized rewards through a motivation module (103), stores user data securely with a data storage module (114), and analyses performance over time with a data analysis module (111). The system is configured for both children and adults, ensuring wide accessibility and engagement.

Description

[0001] SYSTEM AND METHOD FOR ASSISTING INDIVIDUALS WITH ATTENTION- DEFICIT / HYPERACTIVITY DISORDER (ADHD)

[0002] FIELD

[0003] The present disclosure relates to the field of the healthcare domain. More particularly, it focuses on a system and method for assisting individuals with attention-deficit / hyperactivity disorder (ADHD).

[0004] DEFINITION

[0005] As used in the present disclosure, the following terms are generally intended to have the meaning as set forth below, except to the extent that the context in which they are used indicates otherwise.

[0006] Attention-Deficit / Hyperactivity Disorder (ADHD): The term “Attention- Deficit / Hyperactivity Disorder (ADHD)” refers to a neurodevelopmental disorder characterized by patterns of inattention, hyperactivity, and impulsivity that interfere with functioning or development. ADHD commonly affects children and may persist into adulthood, impacting academic, occupational, and social activities. Symptoms include difficulty sustaining attention, excessive activity, and impulsive behavior.

[0007] General Data Protection Regulation (GDPR): The term “General Data Protection Regulation (GDPR)” refers to a comprehensive data protection law enacted by the European Union to regulate the processing and storage of personal data. It ensures that individuals have control over their personal information and mandates organizations to implement robust data security measures. Key principles include lawfulness, transparency, purpose limitation, data minimization, and accountability.

[0008] Health Insurance Portability and Accountability Act (HIPAA): The term “Health Insurance Portability and Accountability Act (HIPAA)” refers to a United States federal law designed to protect sensitive patient health information from being disclosed without the patient’s consent or knowledge. HIPAA establishes standards for electronic health records, data privacy, and security to safeguard Protected Health Information (PHI). Augmented Reality (AR): The term “Augmented Reality (AR)” refers to a technology that overlays digital information, such as images, sounds, or data, onto the real-world environment in real time. It enhances the user’s perception of the physical world by adding virtual elements to it, often viewed through devices such as smartphones, tablets, or AR glasses.

[0009] Virtual Reality (VR): The term “Virtual Reality (VR)” refers to a technology that creates a completely immersive, computer-generated environment that simulates physical presence in a real or imagined world. Users typically experience VR through headsets that block out the physical world, allowing them to interact with virtual environments using controllers or motion sensors.

[0010] The above definitions are in addition to those expressed in the art.

[0011] BACKGROUND

[0012] The background information herein below relates to the present disclosure but is not necessarily prior art.

[0013] Attention-deficit / hyperactivity disorder (ADHD) is one of the most prevalent neurodevelopmental disorders affecting children globally. It is characterized by persistent patterns of inattention, hyperactivity, and impulsivity that interfere with daily functioning and academic performance. Children with ADHD often struggle to sustain attention, follow instructions, and complete tasks, which significantly impacts their learning and social interactions.

[0014] Traditional interventions for ADHD include behavioural therapies, medications, and classroom accommodations. While these methods provide relief, they often lack a personalized and engaging approach, limiting to its long-term effectiveness. Digital systems have emerged as a complementary tool to address these challenges, offering interactive platforms to support attention training and task completion in a structured and motivating manner. However, many existing digital solutions fail to provide the adaptability, personalization, and accessibility required to meet the diverse needs of children with ADHD.

[0015] Therefore, there is felt a need for a system and method for assisting individuals with attention- deficit / hyperactivity disorder (ADHD) that alleviates the aforementioned drawbacks. OBJECTS

[0016] Some of the objects of the present disclosure, which at least one embodiment herein satisfies, are as follows:

[0017] It is an object of the present disclosure to ameliorate one or more problems of the prior art or to at least provide a useful alternative.

[0018] An object of the present disclosure is to provide a system for assisting individuals with attention-deficit / hyperactivity disorder (ADHD).

[0019] Another object of the present disclosure is to provide a system that customizes tasks based on individual preferences and goals, ensuring the learning experience is relevant and engaging for each user.

[0020] Yet another object of the present disclosure is to provide a system that tracks the user's performance and provides regular feedback, allowing caregivers and educators to easily see how the user is doing and make adjustments if necessary.

[0021] Still another object of the present disclosure is to provide a system that provides a personalized learning experience by adapting tasks to the user’ s individual needs and goal

[0022] Yet another object of the present disclosure is to provide a system that provides increased motivation through rewards like badges, achievements, and interactive games.

[0023] Still another object of the present disclosure is to provide a system that provides continuous progress monitoring with real-time feedback, allowing caregivers and educators to track performance.

[0024] Yet another object of the present disclosure is to provide a system that provides adaptable task complexity, ensuring the user faces challenges appropriate to his skill level.

[0025] Still another object of the present disclosure is to provide a system that secures the handling of personal data, ensuring privacy and compliance with data security regulations

[0026] Yet another object of the present disclosure is to provide a system that enhances collaboration between caregivers, educators, and clinicians by sharing performance data for coordinated support. Still another object of the present disclosure is to provide a method for assisting individuals with attention-deficit / hyperactivity disorder (ADHD)

[0027] Other objects and advantages of the present disclosure will be more apparent from the following description, which is not intended to limit the scope of the present disclosure.

[0028] SUMMARY

[0029] The present disclosure provides a system for assisting individuals with attention- deficit / hyperactivity disorder (ADHD), comprising: a server, a patient identification and registration module, a patient input module, a task presentation module, an automated scoring module, an adaptive module, a motivation module, a data storage module, a data analysis module, and output module.

[0030] The server is configured to host and manage the system, enable communication between a mobile application and one or more remote devices over a wireless communication medium, authenticate users, process data, deliver tasks, and execute analytics operations, and comprises the following modules:

[0031] The patient identification and registration module is configured to authenticate individual users through a registration process using unique identifiers, including usernames, passwords, or biometric data, and retrieve personalized task plans and progress data.

[0032] The patient input module is configured to collect inputs from users or caregivers, including preferences, goals, and additional information, for dynamically customizing task parameters and system behaviour.

[0033] The task presentation module is configured to deliver attention tasks in multiple formats, including interactive tasks; using three basic shapes, a square, a triangle and a circle which are coded with diagonal, vertical and horizontal lines respectively

[0034] The automated scoring module is configured to record performance metrics, including task completion time, error rates, and distractibility levels, and provide real-time feedback during or after task completion. The adaptive module is configured to dynamically adjust task complexity based on predictive techniques that analyse user performance metrics, progressively introducing challenges such as response inhibition, working memory tasks, and multitasking exercises.

[0035] The motivation module is configured to sustain user engagement by offering personalized rewards, such as interactive games, badges, streak-based achievements, and goal-based incentives.

[0036] The data storage module is configured to securely store user data, including performance metrics, progress history, and personalized settings, in compliance with global data security and privacy regulations.

[0037] The data analysis module is configured to analyse and track user performance data over time, generating predictive insights, identifying attention deficits, and recommending targeted interventions for caregivers, educators, or clinicians.

[0038] The output module is configured to: i. deliver task performance metrics, progress summaries, feedback, and relevant information to users, caregivers, educators, or other stakeholders to support ongoing engagement and intervention; and ii. provide real-time system outputs, including updates, insights, performance tracking, and task adjustments based on user interactions and recorded data, enabling further action or decision-making;

[0039] In an embodiment, the accessibility features may configured to ensure usability across various devices and provide customizable options, including language preferences, assistive technologies, and speech-to-text or text-to-speech functionalities.

[0040] In an embodiment, the patient input module dynamically customizes task parameters and system behaviour based on preferences, goals, and inputs from caregivers, enhancing user engagement and task relevance.

[0041] In an embodiment, the task presentation module (101) provides interactive tasks using three basic shapes, a square, a triangle and a circle which are coded with diagonal, vertical and horizontal lines respectively and incorporates gamification, augmented reality (AR), or virtual reality (VR) to provide a more engaging and interactive experience for users to improve attention.

[0042] In an embodiment, the adaptive module uses predictive techniques to adjust task complexity based on user performance metrics, progressively introducing more challenging tasks, such as response inhibition, working memory tasks, and multitasking exercises.

[0043] In an embodiment, the natural language processing (NLP) module is configured to process and analyse user or caregiver speech and text inputs to enhance task personalization, detect emotional states, provide conversational guidance, adapt task guidance and feedback accordingly, and generate dynamic task instructions.

[0044] In an embodiment, the motivation module offers rewards such as streak-based achievements, badges, and goal-based incentives, specifically tailored to the individual user’s progress, preferences, and attention improvement needs.

[0045] In an embodiment, the data storage module stores user data in compliance with global data security and privacy regulations, ensuring secure handling of performance metrics, progress history, and personalized settings.

[0046] In an embodiment, the output module provides real-time updates and task adaptations based on continuous monitoring of task performance metrics, facilitating timely interventions by caregivers, educators, or clinicians.

[0047] In an embodiment, the system includes accessibility features that ensure usability across different devices and provide options such as language preferences, and assistive technologies, and may incorporate speech-to-text or text-to- speech functionalities

[0048] In an embodiment, caregivers or educators can access a user-friendly interface that presents task progress summaries, performance metrics, and predictive insights in real time, allowing for personalized interventions.

[0049] In an embodiment, the task presentation module includes real-time task adaptation, adjusting the difficulty and structure of tasks dynamically based on user performance during task execution. In an embodiment, the adaptive module uses a feedback loop based on predictive techniques that modify the frequency, duration, and intensity of tasks to match the user’s evolving performance over time.

[0050] In an embodiment, the motivation module provides a customizable reward structure that is tailored to individual user preferences, performance, and attention improvement goals.

[0051] In an embodiment, the server integrates with third-party platforms, allowing for the exchange of data to support collaboration between caregivers, educators, and clinicians in monitoring user progress.

[0052] The present disclosure provides a method for assisting individuals with attention- deficit / hyperactivity disorder (ADHD), the method comprising the following steps:

[0053] • hosting and managing, by a server, communication between a mobile application and one or more remote devices over a wireless communication medium, authenticating users, processing data, delivering tasks, and executing analytics operations;

[0054] • authenticating, by a patient identification and registration module, individual users through a registration process using unique identifiers, including usernames, passwords, or biometric data, and retrieving personalized task plans and progress data;

[0055] • collecting, by a patient input module, inputs from users or caregivers, including preferences, goals, and additional information, for dynamically customizing task parameters and system behaviour;

[0056] • delivering, by a task presentation module, attention tasks in multiple formats, including interactive tasks using three basic shapes, a square, a triangle and a circle which are coded with diagonal, vertical and horizontal lines respectively

[0057] • recording, by an automated scoring module, performance metrics, including task completion time, error rates, and distractibility levels, and providing realtime feedback during or after task completion;

[0058] • dynamically adjusting, by an adaptive module, task complexity based on predictive techniques that analyse user performance metrics, progressively introducing challenges such as response inhibition, working memory tasks, and multitasking exercises; • sustaining, by a motivation module, user engagement by offering personalized rewards, such as interactive games, badges, streak-based achievements, and goal-based incentives;

[0059] • storing, by a data storage module, user data, including performance metrics, progress history, and personalized settings, in compliance with global data security and privacy regulations;

[0060] • analysing and tracking, by a data analysis module, user performance data over time, generating predictive insights, identifying attention deficits, and recommending targeted interventions for caregivers, educators, or clinicians;

[0061] • delivering, by an output module, task performance metrics, progress summaries, feedback, and relevant information to users, caregivers, educators, or other stakeholders to support ongoing engagement and intervention, and providing real-time system outputs, including updates, insights, performance tracking, and task adjustments based on user interactions and recorded data, enabling further action or decision-making.

[0062] In an embodiment, the modules, including the patient identification and registration module, patient input module, task presentation module, automated scoring module, adaptive module, motivation module, data storage module, data analysis module, natural language processing (NLP) module, output module, and accessibility features, are configured to operate either entirely within the server or in a distributed architecture across the server and remote devices, enabling flexible deployment while maintaining synchronized functionality and secure data handling.

[0063] BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWING

[0064] A System and Method For Assisting Individuals With Attention-Deficit / Hyperactivity Disorder (ADHD), of the present disclosure will now be described with the help of the accompanying drawing in which:

[0065] Figure 1 illustrates a block diagram of an attention improvement system for attention- deficit / hyperactivity disorder (ADHD); and Figures 2A to Figure 2C illustrate a flow chart depicting the steps involved in a method for attention-deficit / hyperactivity disorder (ADHD) in accordance with an embodiment of the present disclosure.

[0066] LIST OF REFERENCE NUMERALSX

[0067] 100 - System

[0068] 102 - Server

[0069] 104 - Mobile application

[0070] 106 - Remote devices

[0071] 108 - Wireless communication medium

[0072] 115 - Patient identification and registration module

[0073] 116 - Patient input module

[0074] 101 - Task presentation module

[0075] 105 - Automated scoring module

[0076] 110 - Adaptive module

[0077] 103 - Motivation module

[0078] 114 - Data storage module

[0079] 111 - Data analysis module

[0080] 117 - Natural language processing (NLP) module

[0081] 118 - Output module

[0082] 113 - Accessibility features

[0083] 200 - 222 Method and method steps

[0084] DETAILED DESCRIPTION Embodiments are provided so as to thoroughly and fully convey the scope of the present disclosure to the person skilled in the art. Numerous details are set forth, relating to specific components, and methods, to provide a complete understanding of embodiments of the present disclosure. It will be apparent to the person skilled in the art that the details provided in the embodiments should not be construed to limit the scope of the present disclosure. In some embodiments, well-known processes, well-known apparatus structures, and well-known techniques are not described in detail.

[0085] The terminology used, in the present disclosure, is only for the purpose of explaining a particular embodiment and such terminology shall not be considered to limit the scope of the present disclosure. As used in the present disclosure, the forms "a,” "an," and "the" may be intended to include the plural forms as well, unless the context clearly suggests otherwise. The terms "comprises," "comprising," “including,” and “having,” are open ended transitional phrases and therefore specify the presence of stated features, elements, modules, units and / or components, but do not forbid the presence or addition of one or more other features, elements, components, and / or groups thereof.

[0086] Embodiments, of the present disclosure, will now be described with reference to the accompanying drawing.

[0087] To address the issues of the existing systems and methods, the present disclosure envisages an attention system (hereinafter referred to as “system 100”) for assisting individuals with attention-deficit / hyperactivity disorder (ADHD) (hereinafter referred to as “method 200”). The system (100) will now be described with reference to Figure 1 and method (200) will be described with reference to Figure 2A and Figure 2B.

[0088] The present disclosure provides System And Method For Assisting Individuals With Attention- Deficit / Hyperactivity Disorder (ADHD), where the system comprises the following components: server (102), patient identification and registration module (115), patient input module (116), task presentation module (101), automated scoring module (105), adaptive module (110), motivation module (103), data storage module (114), data analysis module (111), output module (118). The system is composed of multiple interconnected modules, each serving a specific function, and is described in Figures 1 to 2A to 2C.

[0089] The attention system (100) is configured to support children with Attention- Deficit / Hyperactivity Disorder (ADHD) by improving their attention span through personalized tasks and real-time feedback. The system is configured to operate via a central server (102) that manages the entire platform. The server facilitates communication between a mobile application (104) and one or more remote devices (106), such as smartphones, tablets, or wearables, over a wireless communication medium (108). The server is responsible for authenticating users, processing data, delivering tasks, and executing analytics operations in real time. It collects data from various system modules and adapts task delivery based on user performance, ensuring a highly personalized experience for each user.

[0090] The patient identification and registration module (115) is configured to authenticate individual users via unique identifiers, such as usernames, passwords, or biometric data like fingerprints or facial recognition. This ensures that the user is properly identified within the system, enabling the retrieval of personalized task plans and tracking of progress data. The system can then store these identifiers securely and use them to load individualized settings for each user upon logging in.

[0091] The patient input module (116) is configured to collect information from users or caregivers, including preferences, goals, and other data relevant to the user’s learning and behavioural needs. These inputs enable the system to dynamically adjust the task parameters and overall system behaviour to suit the child’s specific requirements. For example, caregivers can provide insights into the child's learning preferences, areas of difficulty, or behavioural triggers, which helps the system to modify task delivery. The system can adjust task types, durations, or levels of difficulty, thereby ensuring that tasks are engaging and aligned with the user’s needs. By continuously collecting these inputs, the system ensures that the tasks remain both relevant and effective in improving the user’s attention.

[0092] The task presentation module (101) is configured to present the tasks in various formats, allowing users to engage with them in a variety of ways. Tasks may involve simple visual challenges, such as identifying shapes coded with specific patterns (diagonal, vertical, or horizontal). As the system adapts to the user's performance, more complex tasks are introduced, which may involve in future gamification, augmented reality (AR), or virtual reality (VR). These interactive elements may increase user engagement by immersing the child in an AR or VR environment where they interact with objects in a more dynamic and engaging way. The complexity of the tasks evolves as the user demonstrates improvement, ensuring that the challenges presented are always appropriate for his current skill level, maintaining a balance between challenge and accessibility. The automated scoring module (105) is configured to continuously track and record the user’s performance. This includes monitoring task completion time, error rates, and distractibility levels . The scoring module analyses these metrics during and after task execution to assess the user’s performance and provide real-time feedback. If a user’s performance deviates from the expected range, such as taking too long or making numerous errors, the system may offer suggestions for improvement, such as breaking the task into smaller steps or taking a short break. This ongoing feedback ensures that the user receives actionable insights to improve his attention.

[0093] The adaptive module (110) dynamically adjusts task complexity based on predictive techniques that analyse performance data. By continuously analysing user performance metrics, the system introduces progressively more challenging tasks that require increased levels of focus and cognitive engagement. For example, as a user demonstrates proficiency in simpler tasks, the system might introduce tasks that involve response inhibition, working memory exercises, or multitasking challenges. This ensures that the user’s attention span is progressively strengthened as they are exposed to increasingly complex and cognitively demanding tasks.

[0094] The motivation module (103) is responsible for maintaining the user’s engagement throughout the task process. The system offers personalized rewards, such as interactive games, badges , streak-based achievements, or goal-based incentives, based on the user’s progress. These rewards are tailored to the individual user’s performance and preferences. For instance, a user may earn a badge for consistently completing tasks on time or unlocking new game levels after achieving a set number of successful task completions. By providing immediate, relevant rewards, the system motivates the user to continue engaging with the tasks, reinforcing his progress and encouraging sustained attention.

[0095] The data storage module (114) is configured to securely store all user data, including performance metrics, task history, and personalized settings. The data is encrypted to ensure that it remains secure and is stored in compliance with global data security and privacy regulations. Only authorized individuals, such as caregivers, educators, or clinicians, have access to this data. The module ensures that all sensitive information remains protected while still allowing those involved in the user’s development to track performance, assess progress, and recommend adjustments to the system or the child’s learning plan. The data analysis module (111) continuously analyses the user’s performance data over time. By tracking trends in attention and behaviour, the system generates predictive insights that help identify areas where the user may be struggling, such as challenges with sustained attention or working memory. These insights allow caregivers, educators, and clinicians to receive actionable recommendations for targeted interventions. The data analysis module helps optimize the system’s recommendations by adjusting tasks, monitoring progress, and providing real-time suggestions to improve attention.

[0096] In an embodiment, the natural language processing (NLP) module (117) may processes user or caregiver speech and text inputs, enhancing the personalization of the tasks. By analysing speech or text, the module can detect emotional states, such as frustration or excitement, and adapt task guidance accordingly. If a user shows signs of frustration, the system can provide calming instructions, change task difficulty, or offer more encouragement to help the user regain focus. This real-time emotional feedback enables the system to respond flexibly to the user’s needs and ensures that the learning experience remains positive.

[0097] The output module (118) is configured to deliver task performance metrics, progress summaries, and feedback to the user, caregivers, educators, or clinicians. These outputs include real-time system updates, performance tracking, and insights into task completion. The system continuously updates caregivers and clinicians with information about the user’s progress, helping them monitor performance and make timely adjustments to task plans or interventions.

[0098] The accessibility features (113) ensure that the system is usable across a variety of devices and supports customization for users with disabilities. These features include language preferences, and assistive technologies, and may incorporate speech-to-text or text-to-speech functionalities. For example, a child with a visual impairment can listen to task instructions via text-to-speech, while a child with difficulty typing may use speech-to-text to provide input. These features make the system more inclusive, ensuring that children with different needs can still benefit from the system.

[0099] The system (100) also facilitates real-time collaboration between caregivers, educators, and clinicians. By providing a user-friendly interface, the system allows caregivers to share task progress summaries, performance metrics, and predictive insights with educators and clinicians. These stakeholders can collaborate effectively, analysing data and adjusting the learning plan to best support the child. Additionally, the system integrates with third-party platforms, enabling the exchange of data across systems to support a collaborative approach to monitoring the user’s progress.

[0100] In an embodiment, the user can be a child or any individual who requires attention enhancement, such as adults with Attention-Deficit / Hyperactivity Disorder (ADHD) or those facing similar cognitive challenges. The system is configured to adapt to the specific needs of the user, offering personalized tasks based on his age, abilities, and performance. The system dynamically adjusts the complexity of tasks, collects input from caregivers or clinicians for additional customization, and provides real-time feedback to ensure that both children and adults benefit from the system’s capabilities in improving attention and focus.

[0101] In an embodiment, the system (100) may incorporate advanced functionalities such as augmented reality (AR), virtual reality (VR), artificial intelligence (Al)-driven personalization, natural language processing (NLP), biometric monitoring, and real-time emotional analytics to enhance user engagement, task adaptability, and intervention effectiveness. The task presentation module (101) may utilize AR to overlay interactive visual cues in the real world, making tasks more immersive, while VR may create simulated distraction-free environments for cognitive training. The adaptive module (110) may leverage Al-driven algorithms to analyze long-term performance trends and dynamically adjust task complexity based on user capabilities and behavioral patterns. The NLP module (117) may enable conversational Al to process user speech and text inputs, providing real-time guidance and emotional state detection, ensuring tasks remain personalized and engaging.

[0102] Additionally, the system (100) may integrate biometric monitoring using wearable devices to track physiological indicators such as heart rate variability and eye movement, allowing realtime assessment of attention levels. If cognitive fatigue or stress is detected, the motivation module (103) may suggest breaks or relaxation techniques to sustain engagement. The output module (118) may generate predictive insights on user performance, attention patterns, and cognitive strengths, accessible via a caregiver dashboard for real-time monitoring and intervention. Furthermore, integration with third-party educational or therapeutic platforms may allow caregivers, educators, and clinicians to collaborate seamlessly, ensuring a holistic, data-driven approach to ADHD management while maintaining secure data handling and user privacy. Figures 2A to 2C illustrate a method for assisting individuals with attention- deficit / hyperactivity disorder (ADHD), in accordance with an embodiment of the present disclosure.

[0103] At step 202, the method (200) comprises, hosting and managing, by a server (102), enabling communication between a mobile application (104) and one or more remote devices (106) over a wireless communication medium (108), authenticating users, processing data, delivering tasks, and executing analytics operations.

[0104] At step 204, the method (200) comprises, authenticating, by a patient identification and registration module (115), individual users through a registration process using unique identifiers, including usernames, passwords, or biometric data, and retrieving personalized task plans and progress data.

[0105] At step 206, the method (200) comprises, collecting, by a patient input module (116), inputs from users or caregivers, including preferences, goals, and additional information, for dynamically customizing task parameters and system behaviour.

[0106] At step 208, the method (200) comprises, delivering, by a task presentation module (101), attention tasks in multiple formats, including interactive tasks using shapes coded with patterns using three basic shapes, a square, a triangle and a circle which are coded with diagonal, vertical and horizontal lines respectively

[0107] At step 210, the method (200) comprises recording, by an automated scoring module (105), performance metrics, including task completion time, error rates, and distractibility levels , and providing real-time feedback during or after task completion.

[0108] At step 212, the method (200) comprises, dynamically adjusting, by an adaptive module (110), task complexity based on predictive techniques that analyse user performance metrics, progressively introducing challenges such as response inhibition, working memory tasks, and multitasking exercises.

[0109] At step 214, the method (200) comprises, sustaining, by a motivation module (103), and user engagement by offering personalized rewards, such as interactive games , badges , streak-based achievements, and goal-based incentives. At step 216, the method (200) comprises, storing, by a data storage module (114), user data, including performance metrics, progress history, and personalized settings, in compliance with global data security and privacy regulations.

[0110] At step 218, the method (200) comprises, analysing and tracking by a data analysis module (111), user performance data over time, generating predictive insights, identifying attention deficits, and recommending targeted interventions for caregivers, educators, or clinicians.

[0111] At step 220, the method (200) comprises, delivering by an output module (118), task performance metrics, progress summaries, feedback, and relevant information to users, caregivers, educators, or other stakeholders to support ongoing engagement and intervention, and providing real-time system outputs, including updates, insights, performance tracking, and task adjustments based on user interactions and recorded data, enabling further action or decision-making.

[0112] At step 222, the method (200) comprises, ensuring by accessibility features (113), usability across various devices, and providing customizable options, including language preferences, and assistive technologies, and may incorporate speech-to-text or text-to-speech functionalities.

[0113] The present disclosure provides embodiments of the system and method for assisting individuals with attention-deficit / hyperactivity disorder (ADHD) demonstrated through the following non-limiting anecdotal examples to illustrate its functionality and practical applications.

[0114] In an example, a user logs into the mobile application (104) and is presented with an interactive task that involves identifying patterns in a set of shapes. The shapes are initially displayed on a 2D screen, and as the user interacts, the task gradually becomes more complex which may introduce augmented reality (AR) by task presentation module (101) to project the shapes into his physical environment. This immersive task allows the user to manipulate the shapes in 3D space, keeping them engaged. As the user completes each task, the system tracks his performance, such as task completion time and accuracy, using the automated scoring module (105), and provides them with a badge upon success, motivating them to complete future tasks.

[0115] In an example, at the beginning of his therapy sessions, the user logs into the system (100) through the mobile application (104). The patient identification and registration module (115) authenticate him, retrieving his personalized task plan and progress history from the data storage module (114). To establish a baseline, the task presentation module (101) delivers an initial assessment task requiring a fixed number of responses (10, 25, or 50).

[0116] In an example, as the user interacts with the task, the automated scoring module (105) records performance metrics, including task completion time, error rates, and distractibility levels . The adaptive module (110) analyzes this data and determines the appropriate task difficulty level. If the user completes the task efficiently with minimal errors, the system progressively increases complexity by introducing elements such as response inhibition and multitasking exercises. Conversely, if performance indicates challenges, the system selects a simpler task structure to enhance focus and engagement.

[0117] In an example, to sustain motivation, the motivation module (103) provides interactive rewards, such as unlocking an engaging game (108) or awarding a badge for task completion. Simultaneously, the output module (118) delivers real-time feedback, offering insights into the user’s strengths and areas for improvement. The data analysis module (111) continuously tracks performance trends, generating predictive insights that help caregivers, educators, or clinicians refine intervention strategies.

[0118] In an example, over time, the system (100) adapts dynamically, ensuring tasks remain relevant to the user’s progress. Accessibility features (113) may support usability across different devices, while caregivers and educators can access a dedicated interface through the server (102) to monitor task progress, evaluate performance summaries, and make informed decisions on further interventions..

[0119] In a real-time scenario, after task completion, the system (100) provides instant feedback through the output module (118) by comparing the time taken in the current session with the previous session and displaying both times to the user. If the user completes the task faster than the previous session, a star is awarded as positive reinforcement, whereas if the time remains the same or increases, no star is given. A cumulative star pile is maintained and displayed over a week’s duration, and if the user achieves a predetermined success level — such as earning three consecutive stars or five stars within a six-day period — the motivation module (103) rewards them with an additional interactive game (108). This structured reinforcement mechanism ensures continued engagement, encourages sustained effort, and helps improve attention and task performance over time. In another example, the system stores all user data securely using the data storage module

[0120] (114). A caregiver is able to log into the system and review detailed reports of the user’s progress over the past month, such as improvements in task completion times and reduced error rates. The data is stored securely and can only be accessed by authorized individuals, such as caregivers, educators, or clinicians, ensuring that the user's privacy is maintained while giving those responsible for his care the information they need to tailor future interventions.

[0121] In an example of accessibility, a user with hearing impairment is using the mobile application

[0122] (104) and interacts with the task that involves listening to verbal instructions. Because the system has accessibility features (113) may configure such as text-to-speech and speech-to- text, the system automatically converts all instructions into written text for the user, ensuring they can understand the task without relying on audio cues. The user is able to complete the task using these accessibility tools, ensuring that the system accommodates his needs and provides an equal experience for all users, regardless of any disabilities they may have.

[0123] Finally, in a collaborative example, a caregiver notices that the user is struggling with a specific type of task that requires sustained attention. The caregiver accesses the performance data from the system and shares it with the user’s educator. The educator reviews the metrics, such as error rates and the time taken to complete the task, and together, the caregiver and educator develop a new intervention plan that includes shorter tasks with breaks to improve focus. The clinician is also involved, analyzing the data to ensure the child’s ADHD treatment is aligned with his task performance, providing a holistic approach to supporting the user.

[0124] In an embodiment, the modules, including the patient identification and registration module

[0125] (115), patient input module (116), task presentation module (101), automated scoring module

[0126] (105), adaptive module (110), motivation module (103), data storage module (114), data analysis module (111), natural language processing (NLP) module (117), output module (118), and accessibility features (113), are configured to operate either entirely within the server (102) or in a distributed architecture across the server and remote devices (106), enabling flexible deployment while maintaining synchronized functionality and secure data handling.

[0127] In an operative configuration, the user accesses the mobile application (104), which communicates with the server to present a series of tasks designed to improve attention. Each task involves interaction with visual patterns, initially presented on a 2D screen and gradually may in future incorporate augmented reality (AR) (101) to enhance user engagement. As the user progresses, the system tracks key performance metrics, such as task completion time and accuracy, using the automated scoring module (105). The system adapts to the user's performance by adjusting the complexity of tasks through the adaptive module (110), ensuring a progressive challenge. Upon completion of tasks, the system delivers instant feedback via the output module (118), offering rewards like badges for successful task completion, thereby encouraging continued engagement and motivation. This configuration ensures that the system is always aligned with the user’s evolving abilities, providing a dynamic learning environment for improving attention.

[0128] Advantageously, the system integrates real-time feedback, dynamic task adjustments, and secure data storage to deliver a personalized experience that maximizes attention improvement. When a user logs in, the system uses inputs from the patient input module (116) to customize tasks according to the user's preferences and goals. The tasks are designed to gradually increase in complexity based on real-time performance data, which is continuously analyzed by the automated scoring module (105). As the user works through these tasks, the system adjusts them to maintain engagement and challenge, introducing new difficulties like multitasking or working memory exercises. Feedback is provided instantaneously through the output module (118), allowing the caregiver to monitor progress in real time. Additionally, the system stores all user data securely via the data storage module (114), ensuring that only authorized parties can access sensitive information. This configuration provides a comprehensive, secure, and adaptive system that ensures long-term user engagement and improvement while safeguarding privacy.

[0129] The functions described herein may be implemented in hardware, executed by a processor, firmware, or any combination thereof. Other examples and implementations are within the scope and spirit of the disclosure and appended claims. The present disclosure can be implemented by a processor, hardware, firmware, hardwiring, or combinations of any of these. Features implementing functions may also be physically located at various positions, including being distributed such that portions of functions are implemented at different physical locations.

[0130] The foregoing description of the embodiments has been provided for purposes of illustration and is not intended to limit the scope of the present disclosure. Individual components of a particular embodiment are generally not limited to that particular embodiment, but, are interchangeable. Such variations are not to be regarded as a departure from the present disclosure, and all such modifications are considered to be within the scope of the present disclosure.

[0131] TECHNICAL ADVANCEMENTS

[0132] The present disclosure described hereinabove has several technical advantages including, but not limited to system and method for assisting individuals with attention-deficit / hyperactivity disorder (ADHD), that:

[0133] • provides enhanced user engagement through dynamic task adjustments and may include gamification;

[0134] • improves task performance by offering real-time feedback and personalized challenges based on user performance metrics;

[0135] • supports adaptive learning by adjusting task complexity in real-time, ensuring tasks are appropriately challenging;

[0136] • ensures secure data handling by storing user data securely and complying with privacy regulations;

[0137] • enables personalized interventions by analysing performance data and generating predictive insights for caregivers, educators, and clinicians;

[0138] • facilitates collaboration by allowing caregivers, educators, and clinicians to access performance data for coordinated support;

[0139] • ensures accessibility through various assistive technologies, making the system usable across devices for users with different needs; and

[0140] • offers scalable and flexible task customization, allowing the system to be tailored to each user’s unique preferences, goals, and developmental needs.

[0141] The foregoing disclosure has been described with reference to the accompanying embodiments which do not limit the scope and ambit of the disclosure. The description provided is purely by way of example and illustration.

[0142] The embodiments herein and the various features and advantageous details thereof are explained with reference to the non-limiting embodiments in the following description. Descriptions of well-known components and processing techniques are omitted so as to not unnecessarily obscure the embodiments herein. The examples used herein are intended merely to facilitate an understanding of ways in which the embodiments herein may be practiced and to further enable those of skill in the art to practice the embodiments herein. Accordingly, the examples should not be construed as limiting the scope of the embodiments herein.

[0143] The foregoing description of the specific embodiments so fully reveals the general nature of the embodiments herein that others can, by applying current knowledge / lane, readily modify and / or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the spirit and scope of the embodiments as described herein.

[0144] Any discussion of systems, articles or the like that has been included in this specification is solely for the purpose of providing a context for the disclosure. It is not to be taken as an admission that any or all of these matters form a part of the prior art base or were common general knowledge / lane in the field relevant to the disclosure as it existed anywhere before the priority date of this application.

[0145] While considerable emphasis has been placed herein on the components and component parts of the preferred embodiments, it will be appreciated that many embodiments can be made and that many changes can be made in the preferred embodiments without departing from the principles of the disclosure. These and other changes in the preferred embodiment as well as other embodiments of the disclosure will be apparent to those skilled in the art from the disclosure herein, whereby it is to be distinctly understood that the foregoing descriptive matter is to be interpreted merely as illustrative of the disclosure and not as a limitation.

Claims

CLAIMS:

1. A system for assisting individuals with attention-deficit / hyperactivity disorder (ADHD), said system (100) comprising:• a server (102) configured to host and manage the system, enable communication between a mobile application (104) and one or more remote devices (106) over a wireless communication medium (108), authenticate users, process data, deliver tasks, and execute analytics operations, and comprising the following modules: o a patient identification and registration module (115) configured to authenticate individual users through a registration process using unique identifiers, including usernames, passwords, or biometric data, and retrieve personalized task plans and progress data; o a patient input module (116) configured to collect inputs from users or caregivers, including preferences, goals, and additional information, for dynamically customizing task parameters and system behaviour; o a task presentation module (101) configured to deliver attention tasks in multiple formats, including interactive tasks using three basic shapes, a square, a triangle and a circle which are coded with diagonal, vertical and horizontal lines respectively; o an automated scoring module (105) configured to record performance metrics, including task completion time, error rates, and distractibility levels , and provide real-time feedback during or after task completion; o an adaptive module (110) configured to dynamically adjust task complexity based on predictive techniques that analyse user performance metrics, progressively introducing challenges such as response inhibition, working memory tasks, and multitasking exercises; o a motivation module (103) configured to sustain user engagement by offering personalized rewards, such as interactive games, badges, streak-based achievements, and goal-based incentives;o a data storage module (114) configured to securely store user data, including performance metrics, progress history, and personalized settings, in compliance with global data security and privacy regulations; o a data analysis module (111) configured to analyse and track user performance data over time, generating predictive insights, identifying attention deficits, and recommending targeted interventions for caregivers, educators, or clinicians; o an output module (118) configured to: i. deliver task performance metrics, progress summaries, feedback, and relevant information to users, caregivers, educators, or other stakeholders to support ongoing engagement and intervention; ii. provide real-time system outputs, including updates, insights, performance tracking, and task adjustments based on user interactions and recorded data, enabling further action or decision-making;2. The system (100) of claim 1, wherein said system (100) further includes accessibility features (113) may be configured to ensure usability across various devices and provide customizable options, including language preferences, assistive technologies, and speech-to-text or text-to-speech functionalities.

3. The system (100) of claim 1, wherein the patient input module (116) dynamically customizes task parameters and system behaviour based on preferences, goals, and inputs from caregivers, enhancing user engagement and task relevance.

4. The system (100) of claim 1, wherein said a task presentation module (101) provides interactive using three basic shapes, a square, a triangle and a circle which are coded with diagonal, vertical and horizontal lines respectively and incorporates gamification, augmented reality (AR), or virtual reality (VR) to provide a more engaging and interactive experience for users to improve attention.

5. The system (100) of claim 1, wherein the adaptive module (110) uses predictive techniques to adjust task complexity based on user performance metrics, progressively introducing more challenging tasks, such as response inhibition, working memory tasks, and multitasking exercises.

6. The system (100) of claim 1, wherein a natural language processing (NLP) module (117) is configured to process and analyses user or caregiver speech and text inputs toenhance task personalization, detect emotional states, provide conversational guidance, adapt task guidance and feedback accordingly and generate dynamic task instructions.

7. The system (100) of claim 1, wherein the motivation module (103) offers rewards such as streak-based achievements, badges, and goal-based incentives, specifically tailored to the individual user’s progress, preferences, and attention improvement needs.

8. The system (100) of claim 1, wherein the data storage module (114) stores user data in compliance with global data security and privacy regulations, ensuring secure handling of performance metrics, progress history, and personalized settings.

9. The system (100) of claim 1, wherein the output module (118) provides real-time updates and task adaptations based on continuous monitoring of task performance metrics, facilitating timely interventions by caregivers, educators, or clinicians.

10. The system (100) of claim 1, wherein the system includes accessibility features (113) that ensure usability across different devices and provide options such as language preferences, and assistive technologies, and may incorporate speech-to-text or text-to- speech functionalities11. The system (100) of claim 1, wherein caregivers or educators can access a user-friendly interface that presents task progress summaries, performance metrics, and predictive insights in real-time, allowing for personalized interventions.

12. The system (100) of claim 1, wherein the task presentation module (101) includes realtime task adaptation, adjusting the difficulty and structure of tasks dynamically based on user performance during task execution.

13. The system (100) of claim 1, wherein the adaptive module (110) uses a feedback loop based on predictive techniques that modify the frequency, duration, and intensity of tasks to match the user’s evolving performance over time.

14. The system (100) of claim 1, wherein the motivation module (103) provides a customizable reward structure that is tailored to individual user preferences, performance, and attention improvement goals.

15. The system (100) of claim 1, wherein the server (102) integrates with third-party platforms, allowing for the exchange of data to support collaboration between caregivers, educators, and clinicians in monitoring user progress.

16. A method (200) for assisting individuals with attention-deficit / hyperactivity disorder (ADHD), said method (200) comprising the following steps:• hosting and managing, by a server (102), communication between a mobile application (104) and one or more remote devices (106) over a wirelesscommunication medium (108), authenticating users, processing data, delivering tasks, and executing analytics operations;• authenticating, by a patient identification and registration module (115), individual users through a registration process using unique identifiers, including usernames, passwords, or biometric data, and retrieving personalized task plans and progress data;• collecting, by a patient input module (116), inputs from users or caregivers, including preferences, goals, and additional information, for dynamically customizing task parameters and system behaviour;• delivering, by a task presentation module (101), attention tasks in multiple formats, including interactive tasks using three basic shapes, a square, a triangle and a circle which are coded with diagonal, vertical and horizontal lines respectively• recording, by an automated scoring module (105), performance metrics, including task completion time, error rates, and distractibility levels, and providing real-time feedback during or after task completion;• dynamically adjusting, by an adaptive module (110), task complexity based on predictive techniques that analyse user performance metrics, progressively introducing challenges such as response inhibition, working memory tasks, and multitasking exercises;• sustaining, by a motivation module (103), user engagement by offering personalized rewards, such as interactive games, badges , streak-based achievements, and goal-based incentives;• storing, by a data storage module (114), user data, including performance metrics, progress history, and personalized settings, in compliance with global data security and privacy regulations;• analysing and tracking, by a data analysis module (111), user performance data over time, generating predictive insights, identifying attention deficits, and recommending targeted interventions for caregivers, educators, or clinicians; and• delivering, by an output module (118), task performance metrics, progress summaries, feedback, and relevant information to users, caregivers, educators, or other stakeholders to support ongoing engagement and intervention, andproviding real-time system outputs, including updates, insights, performance tracking, and task adjustments based on user interactions and recorded data, enabling further action or decision-making.

17. The system (100) as claimed in claim 1, wherein the modules, including the patient identification and registration module (115), patient input module (116), task presentation module (101), automated scoring module (105), adaptive module (110), motivation module (103), data storage module (114), data analysis module (111), natural language processing (NLP) module (117), output module (118), and accessibility features (113), are configured to operate either entirely within the server (102) or in a distributed architecture across the server and remote devices (106), enabling flexible deployment while maintaining synchronized functionality and secure data handling

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