The application relates to a multi-
modal sensory self-adaptive adjustment method and device based on physiological characteristic feedback, a
computer device and a storage medium. The method comprises the following steps: determining a target physiological index to be adjusted, defining a sensory parameter space composed of multi-
modal sensory control parameters and a control parameter vector; generating an initial control parameter vector based on a preset sampling strategy and converting the initial control parameter vector into a
physical control instruction for execution, collecting corresponding physiological signals to generate a physiological characteristic vector; constructing a
training set by combining the control parameter vector and the physiological characteristic vector into a data pair, establishing a probability agent model; performing parameter optimization iteration based on the model and the
training set, selecting a target characteristic vector from a non-dominant physiological characteristic vector set and executing a
physical control instruction corresponding to the target characteristic vector, and calculating an average physiological characteristic vector in a
sliding time window to perform real-time monitoring and dynamically adjusting the
physical control instruction. The application can realize personalized real-time adjustment of multi-
modal environmental stimuli such as vision, hearing and
olfaction, and effectively improve the
user state.