Before revision:  By using a support vector regression approach to model the relationship between transition times and observed gait velocities , we show that we can predict unobserved velocities accurately. In particular, we demonstrate that the proposed approach has an average error of 4 cm/sec using data collected over a 5 year period from 76 study participants monitored both in their own homes and within a clinical setting.
After revision:  By using a support vector regression approach to model the relationship between transition times and observed gait velocities , we show that gait velocity can be estimated with an average error of 4 cm/sec using data collected over a 5 year period from 76 study participants monitored both in their own homes and within a clinical setting.