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Flight and stance duration during jumping represent basic and very useful information for track and field coaches, and empirical evidence has been given that these parameters correlate strongly with elite performance (Hunter, 2004; Li et al. 2010; Slawinski et al. 2010). In highly dynamical sports such as track and field, athletes must be able to generate high forces within a very short time and in an appropriate manner. Consequently, reactive strength training including multiple jumps or drop jumps from different heights is very important for such athletes (Kale et al., 2009, Markovic et al., 2007). Objective feedback on performance is crucial to ensure a high quality of such a training as intrinsic information is merely available to the athlete due to the high movement velocities. From a trainer’s perspective, on the other hand, the quality of performance cannot be assessed precisely enough by pure observation. For the diagnosis of jumping performance in field-based conditions, several devices have been established in the last years. Contact mats or optoelectrical systems like Optojump® allow a precise and unobtrusive measureing of temporal parameters, but limitations must be stated according the operational area as well as group or ubiquitous monitoring. More recently, the availability of miniature solid-state inertial measurement units (IMUs) offers large opportunities to overcome these restrictions, and therefore open a new perspective for in-field diagnosis. Combined with wireless data transmission, IMUs can be used to provide athletes and coaches with fast and accurate performance measurements to improve athletic development and elite performance. Additionally, IMUs merely affect athletes during performance due to their small size and weight. IMUs have already been used to detect kinematic parameters in track and field applications. High correlations could be shown between IMUs and reference measurements (force platforms and optometric systems) for flight time and jump height during counter-movement-jumps (Picerno et al. 2011; r=.87) and for reactive strength index during drop jumps (Patterson and Caulfield, 2010; r=.98). Reactive strength index, for example, can be used for several purposes for the optimization of plyometric training or for injury prevention (Mc Clymont, 2003). It has also been applied as a tool to judge athletes’ recovery state (Horita et al. 1999; Toumi et al. 2006). Bergamini et al. (2012) reported mean differences of .005 seconds between IMU and highfrequency video or dynamometry for stance and stride durations during sprinting. Lower correlations between force and acceleration peaks for drop jumps (r=.70) and countermovement jumps (r=.55-59) were found if only a three-axis accelerometer data were considered (Tran et al. 2010). The aim of the recent study was the development and validation of an inertial sensor based device for detecting explosive jump events in elite athletes. Additionally, an ubiquitous group monitoring should be supported to use the device during training sessions with multiple athletes.

A Wearable Inertial Sensor Unit for Jump Diagnosis in Multiple Athletes