Its aim is to adapt to the hand shape of different people and the operating habits when using the mouse, to build data-driven shape generation system, to assist designers in the innovative design of mouse shape, and effectively improves the man-machine rationality of the mouse shape scheme. The experimental measurement method and the parameterized design technology were used to extract the shape feature data and simulate the scenario of users -while using the mouse, including the users’ operating habits and hand size. The ergonomics relationship between hand’s moving and mouse shape was explored and the generative rules of mouse form driven by human body data were constructed. The visualization programming platform Grasshopper was used to establish the generative system of mouse form conceptual design driven by human data, which can simulate the user’s behavior effectively. The ergonomic rationality of the obtained mouse form conceptual schemes was verified by evaluating the schemes physically. The method can be applied in mouse form conceptual design based on users’ human body data so as to obtain the conceptual schemes with good adaptability quickly.