The design of chairs not only considers aesthetics but also emphasizes ergonomics to ensure users’ comfort during prolonged sitting. Due to the diverse characteristics and sitting habits of different users, traditional mass-produced chairs struggle to meet all users’ needs. To overcome this challenge, this study proposes a design method that integrates ergonomics with parametric design, achieving personalized customization of chairs based on data-driven approaches. This method utilizes tools such as Kinect, Grasshopper, Arduino, and pressure sensors to dynamically generate chair forms adapted to users’ body characteristics in real-time, providing a more comfortable sitting experience. By capturing users’ skeletal joint positions and pressure parameters, the study achieves real-time adjustment of chair shape, facilitating seamless information exchange between the physical and digital worlds.