In Augmented Reality-Functional Integrated Training (AR-FIT) Group, participants will perform structured functional balance tasks integrating augmented reality with standardized real objects (e.g., chair, step, cup, basket, Swiss ball). Exercises will target lower limb motor control, dynamic balance, trunk stability, and task-oriented mobility. The task library will consist of progressively graded functional balance tasks.

In the AR- based Generic AR Balance Training Group, participants will undergo augmented reality-based balance training without real-object integration. The intervention will include AR-guided weight shifting, virtual stepping, diagonal reaching, trunk control tasks, and tool-based stability exercises (e.g., virtual ball reaching, wobble-board simulations). Exercises will be selected from a structured pool of balance and mobility activities and will be progressed through virtual task difficulty, speed modulation, range of motion, and repetition parameters tailored to the participant's functional level.

In the Conventional Training Group, participants will receive therapist-guided task-oriented balance training based on standard neurorehabilitation principles. Exercises will include sit-to-stand practice, stepping and step-up training, weight shifting, lunges, trunk rotation, reaching activities, and functional mobility drills using real objects without augmented reality support. Task selection and progression will be individualized according to the participant's baseline motor function and clinical progress, with adjustments made in task complexity, repetitions, external support, and environmental challenge.

Each participant will receive a standardized intervention program consisting of 24 supervised training sessions delivered over 8 consecutive weeks (3 sessions per week, approximately 45 minutes per session). All sessions will follow a structured format including a 5-7 minute warm-up phase, a 30-35 minute task-specific training phase, and a 5-6 minute cool-down period.

In Augmented Reality-Functional Integrated Training (AR-FIT) Group, participants will perform structured functional balance tasks integrating augmented reality with standardized real objects (e.g., chair, step, cup, basket, Swiss ball). Exercises will target lower limb motor control, dynamic balance, trunk stability, and task-oriented mobility. The task library will consist of progressively graded functional balance tasks.

The Berg Balance Scale (BBS) is a widely used performance-based clinical measure for assessing functional balance in individuals with neurological conditions, including stroke. It consists of 14 tasks that evaluate static and dynamic balance abilities during common functional activities such as sitting, standing, reaching, turning, and transfers. Each item is scored on a 5-point ordinal scale ranging from 0 (unable to perform) to 4 (independent performance), with a maximum total score of 56 indicating better balance performance. The BBS demonstrates strong validity and high inter-rater and test-retest reliability and is commonly used to assess balance impairment and monitor rehabilitation outcomes in stroke populations.

The Timed Up and Go Test (TUG) is a simple and widely used clinical test for assessing functional mobility and dynamic balance. The test measures the time (in seconds) required for an individual to stand up from a chair, walk 3 meters, turn around, walk back to the chair, and sit down. Shorter completion times indicate better functional mobility. Typical interpretation suggests that <10 seconds represents normal mobility, 10-20 seconds indicates variable mobility, and ≥14 seconds is commonly considered a threshold for increased fall risk in individuals with stroke. The TUG has demonstrated strong test-retest and inter-rater reliability in stroke populations and is frequently used in rehabilitation research to evaluate mobility and fall risk. Instrumented versions of the TUG (iTUG) have also shown improved predictive capabilities and good psychometric properties.

The Mini-BESTest (Mini Balance Evaluation Systems Test) is a performance-based clinical assessment used to evaluate dynamic balance and postural control. It assesses four key balance control systems: anticipatory postural adjustments, reactive postural control, sensory orientation, and dynamic gait. The test consists of 14 items scored on a 3-point ordinal scale (0-2), with a maximum score of 28 indicating better balance performance. The Mini-BESTest has demonstrated good construct validity and excellent inter-rater and test-retest reliability in individuals with neurological conditions, including stroke, and is widely used to assess balance impairments and monitor rehabilitation outcomes.

The User Engagement Questionnaire (UEQ) is a standardized self-report instrument used to assess user engagement and overall user experience with interactive systems and digital applications. The questionnaire evaluates multiple dimensions of engagement, including usability, attractiveness, efficiency, stimulation, and novelty of the system. Items are rated on a Likert-type scale, and scores are analyzed to determine users' perceived satisfaction, motivation, and interaction quality with the technology. The UEQ has been widely used in digital health and rehabilitation technology research to evaluate user acceptance, engagement, and usability of technology-based interventions.