8 results about "Mental stress" patented technology

This utility model discloses a decompression device for emotion management training, relating to the field of mental stress assistance technology. It includes a grip plate with four vertically equidistant clearance holes on one side. A semi-pressure ring is located inside each clearance hole, and a connecting rod is fixed to the outer arc surface of the semi-pressure ring. A limiting groove is provided on the side of the grip plate near the connecting rod, and a reset structure is located inside the limiting groove. An adjustment structure is provided between the grip plate and the reset structure to adjust the position of the reset structure. Through the adjustment structure, this utility model allows users to flexibly adjust the position of the second magnetic block according to their grip strength, making it more flexible and meeting the needs of users with different grip strengths. Regardless of the user's grip strength, the pressing distance of the user's fingers is maximized, ensuring a comfortable pressing experience and achieving an effective decompression effect.

The application discloses a multi-modal physiological data fusion driven mental stress classification method, and belongs to the technical field of physiological signal processing and health monitoring. The method comprises the following steps: pre-processing electrodermal activity, body temperature, acceleration, heart rate and blood oxygen saturation signals; adopting an NSGA-II algorithm to adaptively optimize multi-modal fusion weights; realizing data-level fusion through weighted average; extracting statistical features and eliminating redundant features based on correlation analysis; and finally classifying by using a convolutional neural network with an enhanced multi-head attention mechanism. Through multi-scale fusion and adaptive weight optimization, the application improves classification accuracy and robustness, and is suitable for wearable devices, mental health monitoring and other fields.

We provide the system. [Solution] Means of collecting biometric data, A means for analyzing the aforementioned biometric data to evaluate the user's mental burden, A means of collecting communication data and analyzing emotional states using natural language processing technology, A means of issuing warnings and providing support based on the aforementioned mental burden and emotional analysis, A means of notifying store managers of the mental stress levels of employees, A system that includes this.

The application discloses a resting EEG psychological stress prediction method fusing bidirectional decoupling and potential feature mining, which is applied to a resting EEG psychological stress prediction system fusing bidirectional decoupling and potential feature mining. The prediction system is obtained by training according to historical electroencephalogram (EEG) data and corresponding psychological stress labels. The prediction method comprises the following steps: preprocessing collected original EEG data, and dividing the preprocessed continuous EEG data into a plurality of slices according to a sliding time window, wherein each slice comprises a task-state EEG signal and a resting-state EEG signal; adding random noise to the task-state EEG signal, so that the noisy task-state EEG signal is randomly distributed; introducing a guiding mechanism of the task-state electroencephalogram to the resting-state potential feature, so as to improve the feature separability in a weak feature scenario; meanwhile, effectively separating individual differences and depression-related features by using a bidirectional decoupling structure, extracting the time-space features of the EEG by using a wavelet-Riemann technology, and improving the psychological stress prediction efficiency and objectivity.

This patent application discloses a rare ginsenoside functional composition and its preparation method. The rare ginsenoside functional composition of this invention comprises active ingredients such as ginseng enzymatic hydrolysate and ginseng fermentation product, wherein the ginseng enzymatic hydrolysate is rich in rare ginsenoside CK, and the ginseng fermentation product is rich in ginsenosides Rk1, Rg5, Rk3, and Rh4. The rare ginsenoside functional composition of this invention has good effects in relieving mental stress and antidepressant effects.

The application provides a driver manipulation mode modeling method under ice and snow road surface. In the case of comprehensively considering the road surface condition under extreme ice and snow weather and the operation characteristics of the driver, a driver model considering the mental stress factor of the driver under ice and snow environment is established, so that the driver model can fully reflect the different behavior abilities of the driver under ice and snow road surface, and aims to solve the problem that the existing driver model under ice and snow road surface is insufficient to depict different behavior abilities, so as to obtain a better control effect for subsequent man-machine sharing direct control. The application comprises the following steps: regarding the driver model to be researched as a whole, utilizing the visual perception and motion perception of the driver, establishing a complete driver manipulation model through a two-point visual anticipation module and a compensation module, and selecting and adjusting each module and specific parameters in the model according to the different behavior abilities and manipulation characteristics of different drivers.

The present invention relates to a stress detection system, device and method for detecting mental stress in a person. The system 1, 2 comprises an activity sensor 20 configured to acquire activity information related to the person's activity, a heart rate sensor 30 configured to acquire heart rate information indicating or enabling calculation of the person's current heart rate, and a stress detection device 10, 40, 60 for detecting the person's mental stress based on the acquired activity information and the acquired heart rate information. According to this, a change in the person's posture is taken into account and the calculation of the calculated basal heart rate component and / or the basal heart rate component is adapted when a change in posture is detected.