The existing microexpression recognition tests only measured the static microexpression recognition ability, and neither of them investigated the dynamic microexpression recognition ability. Therefore, in this study, the transient static expressions with multiple emotional arousal gradients were used as the approximation of dynamic microexpression, and the dynamic microexpression recognition ability test DMERT was established. The experiment adopted 7 (background expressions: sadness vs. disgust vs. fear vs. anger vs. anger vs. Surprised vs. happy vs. calm) ×2 (background expression arousal: 3 vs. 5) ×6 (dynamic microexpression: sad vs. disgust vs. fear vs. anger vs. surprise vs. pleasure) ×2 (arousal of dynamic microexpression: 1→2→3→2→1 vs. 3→4→5→4→3). The results show that DMERT has good partition-half reliability, calibration validity, discriminative validity and ecological validity. The subjects had a certain degree of dynamic microexpression recognition ability, but the level was low. The DMERT established in this study can stably and effectively measure the dynamic microexpression recognition ability, and provides an operational definition for dynamic microexpressions.