Recognition Of Multivariate Temporal Musical Gestures Using N-Dimensional Dynamic Time Warping
نویسندگان
چکیده
This paper presents a novel algorithm that has been specifically designed for the recognition of multivariate temporal musical gestures. The algorithm is based on Dynamic Time Warping and has been extended to classify any N dimensional signal, automatically compute a classification threshold to reject any data that is not a valid gesture and be quickly trained with a low number of training examples. The algorithm is evaluated using a database of 10 temporal gestures performed by 10 participants achieving an average cross-validation result of 99%.
منابع مشابه
Realtime Segmentation and Recognition of Gestures using Hierarchical Markov Models
In this work, we present a realtime system for continuous gesture segmentation and recognition. The model is an extension of the system called Gesture Follower developed at Ircam, which is an hybrid model between Dynamic Time Warping and Hidden Markov Models. This previous model allows for a realtime temporal alignment between a template and an input gesture. Our model extends it by proposing a...
متن کاملRobot Arm Performing Writing through Speech Recognition Using Dynamic Time Warping Algorithm
This paper aims to develop a writing robot by recognizing the speech signal from the user. The robot arm constructed mainly for the disabled people who can’t perform writing on their own. Here, dynamic time warping (DTW) algorithm is used to recognize the speech signal from the user. The action performed by the robot arm in the environment is done by reducing the redundancy which frequently fac...
متن کاملAn accelerometer-based approach to evaluate 3D unistroke gestures
This paper, presents an evaluation of Three Dimensional (3D) unistroke human arm gestures. Our scheme employs an accelerometer-based approach by using NintendoTM Wiimote as a gesture device. The system takes acceleration signals from Wiimote in order to, classify different gestures. It deals with numeric gestures, i.e., digits from 0 to 9 and simple mathematical operator gestures for addition, ...
متن کاملContinuous Time-Varying Gesture Segmentation by Dynamic Time Warping of Compound Gesture Models
A novel method is introduced to simultaneously recognize and segment time-varying human gestures from continuous video streams. Motion is represented by a 3D spatio-temporal surface based upon the evolution of a contour over time. The temporal endpoints of a gesture are estimated by Dynamically Time Warping the input sequence against a set of Compound Gesture Models, which are composed of the c...
متن کاملA Non-temporal Approach for Gesture Recognition Using Microsoft Kinect
Gesture recognition has become a very active research area with the advent of the Kinect sensor. The most common approaches for gesture recognition use temporal information and are based on methods such as Hidden Markov Models (HMM) and Dynamic Time Warping (DTW). In this paper, we present a novel non-temporal alternative for gesture recognition using the Microsoft Kinect device. The proposed a...
متن کامل