**8. Conclusion**

From the previous sections, the use of wavelet techniques for gait analysis and arm swing was detailed. Finally, we can conclude that it is possible to use wavelet techniques to automate and quantify spatiotemporal variables related to the gait, to perform an objective analysis of Parkinson's disease. In addition to this, the eMotion system has demonstrated to be a useful tool that can be used in a clinical context to generate spatiotemporal variables like arm swing asymmetry, arm swing speed, swing magnitude, stance time, swing time, step number, duration test, and speed, which are useful for differentiating PD patients from healthy individuals.
