{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9632592","patent":{"patent_number":"US-9632592","title":"Gesture recognition from depth and distortion analysis","assignee":null,"inventors":[],"filing_date":"2014-12-08T00:00:00.000Z","publication_date":"2017-04-25T00:00:00.000Z","cpc_codes":["G06F","G06F","G06F","H04N"],"num_claims":16,"abstract":"Systems and techniques for detecting gestures of a user based on analysis of acquired depth maps as well as identified distortion within one or more acquired color images. For instance, a system may project content onto a display surface within an environment. A user may then interact with the content via gestures, which may include hand gestures, gestures with a stylus or the like. In some instances, the content includes multiple selection portions, such as soft buttons, icons, and the like, that a user may select by pointing or touching with a finger or other type of selection tool. For instance, the projected content may include one or more projected icons and the user may select one of the icons by touching the display surface onto which the respective display icon is being projected."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Gesture recognition from depth and distortion analysis","description":"Systems and techniques for detecting gestures of a user based on analysis of acquired depth maps as well as identified distortion within one or more acquired color images. For instance, a system may p","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9632592","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9632592","citation_suggestion":"Patentable. \"Gesture recognition from depth and distortion analysis\" (US-9632592). https://patentable.app/patents/US-9632592","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9632592","json":"https://patentable.app/api/llm-context/US-9632592","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T04:16:54.262Z"}