Multi-modal biometric synchronized sensing dataset (MM-BioSync) is a database which incorporates behavioral biometric modalities (motion sensors, touchscreen and keystroke dynamics) alongside front-face videos, collected in a synchronized manner using android-based smartphone devices, for the purpose of continuous and active biometric verification.

The need for multi-modal dataset designed specifically for active biometric verification on smartphones is critical. Moreover, current datasets don’t provide enough modalities with synchronization. To tackle this problem, we introduce a new multi-modal biometric dataset, with various behavioral modalities synchronized with front-face camera, to enhance the process of active verification.