Hand gesture recognition serves as a key for overcoming many difficulties and providing
convenience for human life. The ability of machines to understand human activities and their …

The easy availability and rapid use of online devices like Take note, PDA, smartphones, etc.
at an affordable price increase the demand for online handwriting recognition. In this …

Recognizing lines of unconstrained handwritten text is a challenging task. The difficulty of
segmenting cursive or overlapping characters, combined with the need to exploit …

The Dynamic Time Warping algorithm (DTW) is a well-known algorithm in many areas.
While first introduced in 60s [1] and extensively explored in 70s by application to the speech …

We describe Google's online handwriting recognition system that currently supports 22
scripts and 97 languages. The system's focus is on fast, high-accuracy text entry for mobile …

Within the context of hand gesture recognition, spatiotemporal gesture segmentation is the
task of determining, in a video sequence, where the gesturing hand is located and when the …

Most formal rehabilitation facilities are situated in a hospital or care center setting, which
may not always be conveniently accessible for patients, especially those in geographically …

The dynamic time warping (DTW) is a popular similarity measure between time series. The
DTW fails to satisfy the triangle inequality and its computation requires quadratic time …

To recognize speech, handwriting, or sign language, many hybrid approaches have been
proposed that combine dynamic time warping (DTW) or hidden Markov models (HMMs) with …

Urban road transportation performance is the result of a complex interplay between the
network supply and the travel demand. Fortunately, the framework around the macroscopic …