The global digital content market is undergoing a profound shift towards multi-sensory experiences, with consumers demanding deeper engagement beyond visual and auditory stimuli. Simultaneously, regulatory pressures and corporate social responsibility initiatives are accelerating the need for inclusive design, particularly for accessibility in media. This technology offers a timely solution, enabling content creators to meet both demands by providing automated, high-fidelity haptic feedback for diverse audiences.
Automates haptic data creation for video content using AI-driven video analysis, potentially reducing content production effort by ~80%.
Accurately recognizes human motion via machine learning based on skeletal coordinates and trajectory features, enabling realistic and diverse haptic feedback.
Conveys sports event information to visually and hearing-impaired individuals through haptics, bridging information gaps and offering new experiential value.
This patent protects a system for automatically generating haptic metadata from video, specifically focusing on human skeletal extraction, motion recognition via machine learning, and synchronized haptic feedback. Its claims are robust, having overcome a rejection by clearly defining the scope against four cited prior art documents.
This patent focuses on human motion from video. White space exists in generating haptic feedback from non-human objects, environmental events, or abstract data, allowing for broader application development without direct conflict.
Automating manual haptic data integration (5 specialized staff * $40,000/person/year = $200,000 (AI est.)) could reduce costs by ~80%, saving $160,000 (AI est.). Additionally, new immersive experiences could generate $175,000 (AI est.) in new annual revenue, totaling over $335,000 (AI est.) in economic impact.
X: Depth of Experiential Value
Y: Development & Deployment Efficiency