Affectiva Patents
Affectiva’s patent portfolio reflects our innovation mindset. Our patents are diverse and span different types of technology. They entail AI, machine learning, deep learning, computer vision, speech analysis, and reach across different verticals, technologies, platforms, sensors, and modalities. They also span different use cases within automotive, robotics, gaming, media analytics, human behavioral research and more. The breadth and depth of our patent portfolio showcase not only our technology domain expertise but also the many creative applications of Emotion AI relevant today and in the future across many different industries.
At Affectiva, patenting is a team sport. Inventors on our patents are not just R&D team members but also from non-technical teams. We believe that diversity fosters innovation. And, as our patent portfolio shows, when you bring diverse teams together, fresh ideas and new insights spawn.
- US-11769056-B2 — Synthetic data for neural network training using vectors
- US-11704574-B2 — Multimodal machine learning for vehicle manipulation
- US-11700420-B2 — Media manipulation using cognitive state metric analysis
- US-11657288-B2 — Convolutional computing using multilayered analysis engine
- US-11587357-B2 — Vehicular cognitive data collection with multiple devices
- US-11484685-B2 — Robotic control using profiles
- US-11465640-B2 — Directed control transfer for autonomous vehicles
- US-11430260-B2 — Electronic display viewing verification
- US-11430561-B2 — Remote computing analysis for cognitive state data metrics
- US-11393133-B2 — Emoji manipulation using machine learning
- US-11318949-B2 — In-vehicle drowsiness analysis using blink rate
- US-11292477-B2 — Vehicle manipulation using cognitive state engineering
- US-11232290-B2 — Image analysis using sub-sectional component evaluation to augment classifier usage
- US-11151610-B2 — Autonomous vehicle control using heart rate collection based on video imagery
- US-11073899-B2 — Multidevice multimodal emotion services monitoring
- US-11067405-B2 — Cognitive state vehicle navigation based on image processing
- US-11056225-B2 — Analytics for livestreaming based on image analysis within a shared digital environment
- US-11017250-B2 — Vehicle manipulation using convolutional image processing
- US-10922566-B2 — Cognitive state evaluation for vehicle navigation
- US-10922567-B2 — Cognitive state based vehicle manipulation using near-infrared image processing
- US-10911829-B2 — Vehicle video recommendation via affect
- US-10897650-B2 — Vehicle content recommendation using cognitive states
- US-10869626-B2 — Image analysis for emotional metric evaluation
- US-10867197-B2 — Drowsiness mental state analysis using blink rate
- US-10843078-B2 — Affect usage within a gaming context
- US-10799168-B2 — Individual data sharing across a social network
- US-10779761-B2 — Sporadic collection of affect data within a vehicle
- US-10628985-B2 — Avatar image animation using translation vectors
- US-10627817-B2 — Vehicle manipulation using occupant image analysis
- US-10628741-B2 — Multimodal machine learning for emotion metrics
- US-10614289-B2 — Facial tracking with classifiers
- US-10592757-B2 — Vehicular cognitive data collection using multiple devices
- US-10573313-B2 — Audio analysis learning with video data
- US-10517521-B2 — Mental state mood analysis using heart rate collection based on video imagery
- US-10474875-B2 — Image analysis using a semiconductor processor for facial evaluation
- US-10401860-B2 — Image analysis for two-sided data hub
- US-10289898-B2 — Video recommendation via affect
- US-10143414-B2 — Sporadic collection with mobile affect data
- US-10111611-B2 — Personal emotional profile generation
- US-10108852-B2 — Facial analysis to detect asymmetric expressions
- US-10074024-B2 — Mental state analysis using blink rate for vehicles
- US-9959549-B2 — Mental state analysis for norm generation
- US-9723992-B2 — Mental state analysis using blink rate
- US-9642536-B2 — Mental state analysis using heart rate collection based on video imagery
- US-9646046-B2 — Mental state data tagging for data collected from multiple sources
- US-9503786-B2 — Video recommendation using affect
- US-9247903-B2 — Using affect within a gaming context
- US-9204836-B2 — Sporadic collection of mobile affect data
- US-9106958-B2 — Video recommendation based on affect
- US-8965479-B2 — Biosensor with electrodes and pressure compensation
- US-8311605-B2 — Biosensor with pressure compensation