The present application relates to the technical field of
pain assessment, in particular to a tumor peace
therapy pain grading assessment method based on multi-
modal sensing, comprising the following steps: acquiring
angular velocity and displacement direction to determine the static state, combining facial and voice features to locate the restricted period, extracting
rhythm signals to identify the contradictory state, comparing the
label content to extract the uncovered information, analyzing the
signal features to divide the dominant channel, and modifying the
label to obtain the pain grading
verification label. In the present application, a static
state recognition mechanism is established by fusing posture changes and
signal fluctuation features, the behavior restricted time window is located by combining facial and voice features, the
rhythm fluctuation information not covered by the label under the silent state is screened, the dominant channel path is constructed by extracting the
signal fluctuation quantity, response sequence and synchronization relationship, the label content is compared and modified, the recognition range of the pain grading for non-extrinsic reaction state is expanded, and the coverage ability and resolution level of the label content for the
rhythm behavior state are improved.