Objective This study focuses on the analysis of the characteristics of motoneurons controlling the extension of a single finger in different individuals, and obtains the similarity and difference of the characteristics of micro motoneurons in different individuals. Methods The The micro motoneurons were decomposed by blind source separation algorithm. The two-dimensional spatial characteristics, centroid coordinates and activation area of motoneurons were quantified. Furthermore, the similarities and differences of motoneurons in individuals during different finger movements were verified using “leaving-one-subject-out” method. In addition, the characteristics of motoneurons innervating the coordinated movement of different fingers between individuals were studied by the proportion of shared motor neurons. Results There were significant differences in the spatial distribution of motoneurons between the index finger and the middle finger for different individuals, but the activation area of them was similar. The average accuracy of finger classification was 86.99%, and significantly improved to 90.07% after using TCA calibration. Through the analysis of the proportion of shared neurons in different individuals, we found that the proportion of shared neurons in index finger and middle finger ring finger and little finger was relatively small, while the proportion of shared neurons in ring finger and little finger was the highest. Conclusion the spatial discharge characteristics of motoneurons controlling different fingers in different individuals are similar, and the motoneurons driving different fingers can be distinguished according to fingers. This study reveals the internal neural mechanism of different individuals during finger muscle contraction, which can provide a reference for the neural mechanism research of finger movement and the related engineering applications of motion assisted systems.