ESRC Heart is a vision API and SDK designed to bring real-time heart response and emotion recognition to mobile applications. By analyzing facial color changes and subtle head movements captured by a device camera, ESRC Heart estimates heart rate and provides heart rate variability information developers can integrate directly into their apps. Teams building wellness, UX research, or biofeedback features may want it to add contactless physiological sensing without external hardware. The SDK focuses on single-face detection with front-facing cameras and outputs detailed HR and HRV indicators for downstream analysis.
⭐ ESRC Heart provides a vision API and SDK for mobile app integration, enabling developers to integrate physiological sensing into their workflows.
⭐ Face Detection: Detect a single face using a front camera on mobile.
⭐ Heart Rate Estimation: Estimate heart rate from facial color variations and head movements using Remote Photoplethysmography and Remote Ballistocardiography.
⭐ Heart Rate Variability Analysis: Extract 19 indicators of heart rate variability reflecting autonomic nervous system activity from accumulated heart rates.
✅ ESRC Heart enables real-time camera-based heart response and emotion recognition that can be embedded in mobile apps.
✅ Uses device camera input to capture the signals needed for estimation, avoiding extra wearable sensors.
✅ Provides 19 HRV indicators for deeper assessment of autonomic nervous system activity.
✅ Delivered as an API/SDK so developers can incorporate heart and emotion sensing into existing mobile projects.
❎ Detects only a single face and is designed for front-facing mobile cameras, which limits multi-subject scenarios.
❎ Heart rate variability metrics are derived from accumulated heart rate data, so some analyses require time to collect sufficient samples.
❎ Packaged as an API/SDK for developers rather than a ready-made consumer application, so integration work is required.
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