{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11295119","patent":{"patent_number":"US-11295119","title":"Systems and method for action recognition using micro-doppler signatures and recurrent neural networks","assignee":null,"inventors":[],"filing_date":"2018-07-02T00:00:00.000Z","publication_date":"2022-04-05T00:00:00.000Z","cpc_codes":["G01S","G01S","G01S","G01S","G06F","G06N","G06N","G06N","G06N","G06N","G06V","G06V","G06V","G06V","G01S","G01S","G06F","G06F","G10L"],"num_claims":17,"abstract":"The present disclosure may be embodied as systems and methods for action recognition developed using a multimodal dataset that incorporates both visual data, which facilitates the accurate tracking of movement, and active acoustic data, which captures the micro-Doppler modulations induced by the motion. The dataset includes twenty-one actions and focuses on examples of orientational symmetry that a single active ultrasound sensor should have the most difficulty discriminating. The combined results from three independent ultrasound sensors are encouraging, and provide a foundation to explore the use of data from multiple viewpoints to resolve the orientational ambiguity in action recognition. In various embodiments, recurrent neural networks using long short-term memory (LSTM) or hidden Markov models (HMMs) are disclosed for use in action recognition, for example, human action recognition, from micro-Doppler signatures."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Systems and method for action recognition using micro-doppler signatures and recurrent neural networks","description":"The present disclosure may be embodied as systems and methods for action recognition developed using a multimodal dataset that incorporates both visual data, which facilitates the accurate tracking of","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11295119","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-11295119","citation_suggestion":"Patentable. \"Systems and method for action recognition using micro-doppler signatures and recurrent neural networks\" (US-11295119). https://patentable.app/patents/US-11295119","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11295119","json":"https://patentable.app/api/llm-context/US-11295119","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T12:47:01.799Z"}