Dynamically Weighted DTW for Dynamic Full-Body Gesture Recognition
نویسندگان
چکیده
As sensor technology has become more advanced, research projects exploring new ways in human-computer interaction have been enabled. Especially, after the Kinect released, study of gesture recognition for human-computer interaction using Kinect has become popular. Dynamic Time Warping (DTW) is one of the template matching algorithm used in the field of gesture recognition. By selecting the most similar gesture compared with the DTW to input sequence and reference sequence of the database, it is possible to achieve a gesture recognition. When trying to recognize a dynamic full-body gesture in Kinect environment, we have to compare all joints throughout the body. When calculating the similarity of the two sequences, all joints of the body is not important in the same way. We propose a dynamically weighted DTW method based on the displacement of the joint. The proposed method shows good performance in the experimental results.
منابع مشابه
An Evaluation of DTW Approaches for Whole-of-Body Gesture Recognition
This paper systematically explores the capabilities of different forms of Dynamic Time Warping (DTW) algorithms and their parameter configurations in recognising whole-of-body gestures. The standard DTW (SDTW) (Sakoe and Chiba 1978), globally feature weighted DTW (Reyes et al. 2011) and locally feature weighted DTW (Arici et al. 2013) algorithms are particularly considered, while an enhanced ve...
متن کاملGesture Recognition using Skeleton Data with Weighted Dynamic Time Warping
With Microsoft’s launch of Kinect in 2010, and release of Kinect SDK in 2011, numerous applications and research projects exploring new ways in human-computer interaction have been enabled. Gesture recognition is a technology often used in human-computer interaction applications. Dynamic time warping (DTW) is a template matching algorithm and is one of the techniques used in gesture recognition...
متن کاملProbability-Based Dynamic Time Warping for Gesture Recognition on RGB-D Data
Dynamic Time Warping (DTW) is commonly used in gesture recognition tasks in order to tackle the temporal length variability of gestures. In the DTW framework, a set of gesture patterns are compared one by one to a maybe infinite test sequence, and a query gesture category is recognized if a warping cost inferior to a given value is found within the test sequence. Nevertheless, either taking one...
متن کاملA One-Shot DTW-Based Method for Early Gesture Recognition
Early gesture recognition consists of recognizing gestures at their beginning, using incomplete information. Among other applications, these methods can be used to compensate for the delay of gesture-based interactive systems. We propose a new approach for early recognition of full-body gestures based on dynamic time warping (DTW) that uses a single example from each category. Our method is bas...
متن کاملHand Gestures Classification with Multi-Core DTW
Classifications of several gesture types are very helpful in several applications. This paper tries to address fast classifications of hand gestures using DTW over multi-core simple processors. We presented a methodology to distribute templates over multi-cores and then allow parallel execution of the classification. The results were presented to voting algorithm in which the majority vote was ...
متن کامل