2 results about "Ubiquitous computing" patented technology

The anti-environmental noise tooth gesture interaction action independent identity authentication method belongs to the field of Internet of Things and ubiquitous computing. The ear outside and ear inside microphones of the intelligent earphone respectively perceive environmental noise signals and ear canal audio signals. The ear inside collected audio signals have frequency selection and individual difference characteristics due to the effect of ear closing plug. When the user performs tooth gesture interaction action, the corresponding ear inside bone conduction audio signals exist individual differences after modulation through the facial transmission path, and are not easily affected by the interaction action. The present application effectively eliminates environmental noise interference by constructing individualized mapping relationship of ear inside and outside audio signals, and uses the adversarial learning network to extract the transmission path tissue related biological features from the captured tooth gesture ear inside bone conduction audio signals, realizes the anti-environmental noise tooth gesture interaction action independent identity authentication. The present application has the advantages of fast authentication, effective resistance to environmental noise and robustness to inconsistent tooth gesture interaction action.

The application discloses a music playing mode intelligent switching system suitable for different scenes and belongs to the field of artificial intelligence and ubiquitous computing. The system comprises a multi-modal perception module, which is used for collecting environment, user physiological, behavior interaction and audio content data in real time; a feature fusion coding module, which generates a joint scene feature vector through time sequence alignment, statistical feature extraction and neural network coding; a machine learning inference engine, which adopts a pre-trained multi-task learning model supporting online fine-tuning, outputs a fine-grained scene recognition result and optimal playing mode configuration parameters according to the feature vector; and a dynamic audio execution module, which analyzes the configuration parameters and realizes non-perception audio experience switching through a smooth transition controller, and simultaneously collects user feedback to form a learning closed loop. The application realizes highly personalized, context-accurate perception and smooth and seamless music playing mode full-automatic intelligent adaptation, and can be widely applied to intelligent earphones, vehicle entertainment, smart home and mobile terminals.