{"data":{"full_name":"deaneeth/behavioral-biometric-authentication","name":"behavioral-biometric-authentication","description":"Deep learning-based behavioral biometric authentication system using smartphone accelerometer and gyroscope sensors for gait recognition. Achieves 3.43% EER and 92.68% accuracy through multi-sensor fusion and optimized neural networks. Built with MATLAB.","stars":1.0,"forks":0.0,"language":"MATLAB","license":"MIT","archived":0.0,"subcategory":"behavioral-biometric-authentication","last_pushed_at":"2025-11-20T18:33:57+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":6.0,"adoption_score":1.0,"maturity_score":9.0,"community_score":0.0,"quality_score":16.0,"quality_tier":"experimental","risk_flags":"['no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-10T17:52:31.158200+00:00"}}