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Haptic data is a kind of immersidata that is used to describe the movement, rotation, and force associated with user-directed objects in an immersive environment. We use the CyberGlove as a haptic user interface to an immersive environment. The CyberGlove consists of several sensory devices that generate data at a continuous rate. The acquired data can be stored, queried, and analyzed for several applications. In this chapter, we focus our attention on the analysis of haptic data with the objective of modeling these data in a database. A large number of diverse applications use haptic data. Each such application may need haptic data stored and modeled at different levels of abstraction. For now, we consider three levels of abstraction. First, in Shahabi, Barish, Kolahdouzan, Yao, Zimmermann, and Zhang (2001), we made our first attempt to model haptic data at the lowest level of abstraction. There, we dealt with raw haptic data conceptualized as time-series data sets. Such a modeling approach can be used for training applications such as comparing a teacher’s and a student’s session with the CyberGlove, to measure the student’s proficiency at following the teacher. Second, in this chapter we move a level up from