Starting from the investigation of the concept of gesture in its different meanings,  we propose strategies and tools for the development of musical creations that explore dance and music within the context of electroacoustic composition and interactive digital performances. In motion capture, we use position sensors and inertial measurement units. From these data, we developed a tool in Max / Msp aimed at the classification of gestures of dancers based on the Laban Movement Analysis. The sound-musical approach is based on Schaeffer's morphology and Smalley's spectromorphology, which can rely on live instruments and recordings and their processing in real time. Here will be presented and documented the process of creating two interactive works that integrate this doctoral research.