7 results about "Electrodermal response" patented technology

This invention relates to the field of depression monitoring and intervention technology, and discloses a depression monitoring and intervention system based on an internet hospital and heart rate variability (HRV). The system includes: a multimodal physiological signal acquisition module for simultaneously acquiring raw HRV signals, skin conductance fluctuations, and respiratory rate data; a signal processing module for preprocessing and feature extraction of the raw signals to obtain multidimensional feature vectors; and a depression level inference module that constructs a multilayer perceptron neural network, taking as input the multidimensional feature vector containing multidimensional HRV features, skin conductance fluctuations, and respiratory rate statistics, and outputting probability values ​​for no depression, mild depression, and moderate to severe depression levels. This invention establishes an intelligent management mechanism for internet hospitals for the first time, collecting multidimensional physiological data of patients with depression in real time through wearable monitoring units. Based on the dynamic trends of physiological data characteristics, it can serve as an auxiliary diagnostic tool for psychiatry, especially suitable for early screening and remote follow-up of depression, reducing the consumption of medical resources.

This invention relates to the fields of physiological signal processing and emotion recognition technology, and discloses a method for recognizing physiological and emotional states of diverse populations. The method includes: acquiring facial video streams, infrared thermal imaging, and electrodermal signals; performing spectral adaptive enhancement based on skin color to obtain a spectrally enhanced video stream; inputting the spectrally enhanced video stream into a spatially modulated attention network to obtain a remote photoplethysmography waveform; extracting temperature distribution features from infrared thermal imaging; extracting electrodermal response features from electrodermal signals; aligning the three signals spatiotemporally and constructing alternative features for the failed signal based on the signal-to-noise ratio; inputting the three signals and alternative features into a multimodal signal pattern recognition network for weighted fusion, outputting a fused physiological feature; inputting the fused physiological feature into a population-level verification network for population adaptive matching and individual baseline correction, outputting the final emotional state. This invention achieves robust, fair, and accurate emotion recognition for diverse populations.

This product provides a necklace-type terminal and data processing system that allows users to optimize their performance in real time during exercise, enabling more effective training. [Solution] The necklace-type terminal includes an acceleration sensor that detects the wearer's movements, a skin electroreaction sensor that detects the wearer's biological data, an environmental sensor that acquires data on the wearer's external environment, a current location acquisition module that acquires the wearer's current location, a data collection unit that collects data from the acceleration sensor, the skin electroreaction sensor, the environmental sensor, and the current location acquisition module, and a control unit that acquires the results of the analysis of the data collected by the data collection unit and provides feedback on the wearer's training.

The application relates to the field of time measurement, and discloses an intelligent watch for safety monitoring and alarming, which comprises a data acquisition and preprocessing module, a risk feature extraction module, an environment evaluation module, a dynamic risk fusion module, a predictive buffer alarm control module and an alarm execution module which are connected in sequence. The system collects physiological and environmental data of a user through multiple sensors, calculates risk factors in four dimensions of heart rate variability, motion contradiction, skin electric response and abnormal stillness, dynamically adjusts the fusion weight of each factor in combination with the real-time evaluated environmental risk level, and generates a comprehensive risk score. The alarm control module executes a hierarchical buffer alarm process including early warning, local delayed alarm and remote alarm according to the score and its short-term prediction value in combination with a dynamic threshold. Through multi-dimensional information fusion and environment adaptive decision, the application can more accurately distinguish physiological interference from real risks, reduces false alarms, and ensures timely response to real risks.

This invention discloses an emotion training system and method based on multi-sensory intervention and AI dialogue, belonging to the field of computer application and artificial intelligence technology. The system achieves proactive intervention throughout the entire cycle of panic attacks or acute anxiety attacks through the collaborative work of a multi-sensory intervention module, an AI dialogue system, a user data recording and feedback subsystem, and a peak detection state machine. The method includes: initiating AI dialogue and collecting multi-source evidence data; presenting dynamic storm visual effects, playing audio and vibration stimuli; calculating the emotion intensity curve I(t) based on real-time physiological proxy data (heart rate HR, skin conductance response GSR) and interaction data; automatically switching the stimulation parameters between peak and non-peak periods when the multi-source evidence score meets the threshold condition; calculating the amygdala sensitivity index (ASI), prefrontal control index (PCI), growth score (G), and courage index (CI) after the session ends, and generating a training report. This invention overcomes the limitations of traditional psychological applications that rely on a single sensory focus and passive relief, achieving closed-loop training with real-time detection, dynamic intervention, and effect quantification during the attack period.

The application discloses a mobile phone interaction system and method based on multi-modal biofeedback and dynamic context perception, a multi-modal bio-acquisition module integrates micro-expression recognition, skin electric response sensing and eye movement tracking sub-modules, and micro-expression, skin electric response and eye movement signals of a user are collected in real time; a dynamic context perception module constructs a dynamic context model by comprehensively considering environmental light, scene type and time information; a data processing and decision engine adopts a pre-trained machine learning model, multi-modal physiological characteristics and dynamic contexts are analyzed by fusion, emotional state, attention concentration degree and cognitive load indexes of the user are calculated, and personalized interaction instructions are generated; an interaction execution module adaptively adjusts mobile phone notifications, volume, display interfaces and health intervention functions; the application realizes an interaction paradigm change from passive instruction response to active state perception, significantly improves naturalness, intelligence and personalization level of the interaction, and has a positive digital health management auxiliary value.