Kogniffy AI: Non-invasive Cognitive Screening via Gamified Mini-games and Artificial Intelligence

Kogniffy AI is an open-source gamified cognitive screening platform. It collects behavioral data such as reaction time and memory through interactive mini-games, uses AI analysis to generate reports, and addresses the limitations of traditional assessments in a non-invasive and accessible way to enable early cognitive function evaluation.

Global aging is accelerating, and cognitive impairment has become a public health challenge: WHO data shows that over 50 million people suffer from dementia, which will triple by 2050. Traditional assessments require professional operation, are time-consuming and costly, and have poor accessibility, so many people at early risk cannot be screened in time. Kogniffy AI breaks through this with the idea of gamification + AI.

The platform uses mini-games to measure key cognitive dimensions:

• Reaction time: Records stimulus responses at the millisecond level, reflecting information processing speed;
• Memory: Memory matching/sequence recall to assess working/short-term memory;
• Attention: Assessment of sustained (long-term focus) and selective (locating amid interference) attention;
• Visual perception: Tasks like pattern recognition are associated with the functions of the occipital and parietal lobes of the brain.

The AI engine has three layers:

1. Feature extraction: Extracts hundreds of features such as statistics, time series, and patterns from logs;
2. Model inference: Machine learning models link game behavior with professional test results to score cognitive dimensions;
3. Report generation: Outputs user-friendly reports including scores, comparisons with peers of the same age, trends, and training recommendations.

Two core design principles:

• Non-invasive: No medical equipment/samples required, only a computer or mobile phone, eliminating psychological resistance;
• High accessibility: Web application with no installation needed, serving remote areas and large-scale screenings.

Application scenarios:

• Clinical assistance: Preliminary screening to optimize medical resources;
• Health management: Individuals track cognitive changes regularly;
• Scientific research: Large-scale collection of standardized data;
• Education: Assess students' attention/memory to support personalized teaching.

Points to note:

• Result interpretation: Cannot replace clinical diagnosis; avoid user misunderstanding;
• Data privacy: Strictly protect sensitive cognitive data;
• Algorithm fairness: Address biases among different groups; need diverse training data and calibration.

Kogniffy AI is an innovative direction for cognitive assessment; gamification + AI expands the screening scope. Although improvements such as model validation and clinical benchmarking are needed, its concept of convenience and accessibility is correct. The open-source codebase provides a platform for developers and researchers to learn and contribute.