Extensive research on time series classification in the last decade has produced fast and accurate algorithms for the single-dimensional case. However, the increasing prevalence of inexpensive sensors has reinforced the need for algorithms to handle multi-dimensional time series. For example, modern smartphones have at least a dozen sensors capable of… (More)
Figure 3. The red dot/blue triangle represent sensors mounted in wrist/shoe, respectively. left) A two dimensional time series (T1 , T2), T1 from a sensor on the wrist and T2 from a sensor on the shoe. right) A query q with two dimensions (q1 and q2), will find their nearest neighbors in T1 and T2 , respectively.