 Lynn had all developed a data glove system to measure motor impairment in patients with stroke. They used functional data analysis to identify key features from the data collected by the data glove, which was then used to classify different levels of motor impairment. Support vector machines were found to be most effective at classifying the data, providing accurate results for both overall and sensor specific performance. This system has potential applications in rehabilitative care for stroke patients, allowing for quicker and more consistent evaluation of motor impairment. This article was authored by Yiting Huang, Weian Lu and Borshing Lin.