Mixed Reality by Understanding and Integrating Spatio-Temporal Data of a LIDAR and a 4D Studio
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GAIMS can help with the diagnosis of multiple sclerosis (MS) and for the continued evaluation of the disease’s progression [2]. The ambulation impairments appear in the early stages of the disease and the magnitude of gait modification is a good indicator of disease activity. The current standardized tests used to assess gait in MS are still based largely on a measure of speed, and a simple stop watch is often the sole measuring instrument used by the neurologist. This is too limiting. GAIMS is the first powerful system that fully satisfies the clinical routine constraints and is compatible with existing standardized tests. Its effectiveness has been shown through a threefold validation procedure: (1) GAIMS has been demonstrated to detect subtle (intrasubject) gait alterations and to be more effective than a stop watch in detecting gait abnormalities. (2) It is possible to differentiate between healthy individuals and MS patients based on gait characteristics measured by GAIMS. (3) GAIMS can also measure significant differences between MS patients with different disease states.
[1] D. Hatzinakos,et al. Gait recognition: a challenging signal processing technology for biometric identification , 2005, IEEE Signal Processing Magazine.
[2] Marc Van Droogenbroeck,et al. Multimodal evaluation of gait and stride dynamics in relapsing and progressive forms of multiple sclerosis. , 2012 .