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4 results about "Pre conditioning" patented technology

Preconditioning or sensory preconditioning is a phenomenon of classical conditioning that demonstrates learning of an association between two conditioned stimuli.

Method and system for analyzing time lag effect of night running multi-mode sensory stimulation

The invention relates to the technical field of environmental psychology, exercise rehabilitation and intelligent environment regulation and control, and discloses a time lag effect analysis method and system for night running multi-mode sensory stimulation, and the method comprises the steps: building a night running test environment, collecting visual, auditory and olfactory multi-mode sensory stimulation data and physiological and psychological indexes of participants, and analyzing the time lag effect of night running multi-mode sensory stimulation. After preprocessing, constructing a single sensory stimulation time lag model, and analyzing peak time and lag characteristics of each stimulus; the sensory interaction is explored through a coupling model, and a co-stimulation combination and a key influence time period are identified; and finally, formulating sensory regulation and control strategies of different periods and different road sections. According to the method, the time dynamic rule of nighttime multi-sensory stimulation is determined for the first time, the nighttime environment restoration research blank is filled, urban nighttime space design can be directly guided, and the method has good application prospects.
Owner:ZHEJIANG UNIV OF TECH

Multimodal perception and ai-driven emotion regulation method

PendingCN122417308APre conditioningPhysical therapy
This invention relates to a multimodal perception and AI-driven emotion regulation method, comprising: simultaneously collecting multi-dimensional environmental parameters of the user and the user's own multimodal physiological signals; preprocessing the multi-dimensional environmental parameters and the physiological signals respectively, and extracting feature data to generate corresponding environmental feature data and physiological feature data; based on the environmental feature data and physiological feature data, identifying the user's current emotional state and corresponding emotional intensity through a preset multimodal emotion recognition model; when the user is identified to be in a preset negative emotional state, matching a combined intervention scheme corresponding to the current emotional state and intensity according to a preset intervention strategy library, generating and executing a combined intervention instruction; the combined intervention instruction controls at least two different types of actuators to regulate the user through at least two sensory channels.
Owner:SHENZHEN YIQI GUANGGUANG TECHNOLOGY CO LTD

A multi-sensory weighted dynamic balance assessment method

ActiveCN119405266BSustainable transportationSensorsSensory disturbanceData acquisition
The present invention discloses a multi-sensory reweighted dynamic balance assessment method, comprising: (1) data acquisition: collecting center of plantar pressure (COP) data of a subject under different sensory disturbance conditions; (2) postural stability assessment: fitting a 95% confidence ellipse of the COP data and calculating the sway area A to assess the subject's overall postural stability; (3) COP signal decomposition: pre-processing the COP data and decomposing it into different frequency bands using discrete wavelet transform; (4) multi-sensory reweighted analysis: mapping the frequency bands to sensory systems, calculating the energy proportion, and quantifying the contribution of each sensory system to balance control; and (5) data integration and evaluation. The present invention comprehensively and objectively assesses the subject's postural stability and the contribution of each sensory system to balance control under multi-sensory disturbance conditions by combining a linear index (sway area) and a nonlinear index (energy distribution of discrete wavelet transform).
Owner:RES INST OF ZHEJIANG UNIV TAIZHOU