Introduction Minimally invasive surgery is increasingly common as a surgical approach; as such experience and training in this technique would expect to become requirements of surgical training. Many surgical techniques aquisition of skills through observation and supervised operating, with assessment based on minimum logbook requirements, procedural observation and assessment and supervisor reports. The time taken to instruct basic skills in minimally invasive surgery and the potential for increased adverse outcomes whilst being taught suggest that alternative approaches to learning are required. Virtual simulators or box trainers are validated approaches to teaching basic skills but require formalized assessments to determine adequate learned ability. Intra operative skills assessment requires one on one observation and video evaluation which has a significant time cost. Virtual reality offers the ability to track motion and provide feedback based on computer algorithms but these devices are costly but are comparable to standard laparoscopic simulation regarding realism. I propose to use small devices (Phidget® Spatial) which analyze movement based on linear and rotational acceleration in 3-axis (Accelerometer and gyroscope). These devices are small enough to unobtrusively fit into gloves and monitor the movement of each hand whilst performing procedures. With the intention of analyzing various movement characteristics of experts and novices performing generic laparoscopic exercises to attempt to understand potential performance markers for feedback during training.