Hidden Markov Model for recognition of skeletal databased hand movement gestures
Journal Title: EAI Endorsed Transactions on Context-aware Systems and Applications - Year 2017, Vol 4, Issue 14
Abstract
The development of computing technology provides more and more methods for human-computer interaction applications. The gesture or motion of a human hand is considered as one of the most basic communications for interacting between people and computers. Recently, the release of 3D cameras such as Microsoft Kinect and Leap Motion has provided many advantage tools to explore computer vision and virtual reality based on RGB-Depth images. The paper focuses on improving approach for detecting, training, and recognizing the state sequences of hand motions automatically. The hand movements of three persons are recorded as the input of a recognition system. These hand movements correspond to five actions: sweeping right to left, sweeping top to bottom, circle motion, square motion, and triangle motion. The skeletal data of hand joint are collected to build an observation database. Desired features of each hand action are extracted from skeleton video frames by using the Principle Component Analysis (PCA) algorithm for training and recognition. A hidden Markov model (HMM) is applied to train the feature data and recognize various states of hand movements. The experimental results showed that the proposed method achieved the average accuracy nearly 95.66% and 91.00% for offline and online recognition, respectively.
Authors and Affiliations
Bui Cong Giao, Trinh Hoai An, Nguyen Thi Hong Anh, Ho Nhut Minh
Keywords
Related Articles
- EP ID EP45803
- DOI http://dx.doi.org/10.4108/eai.18-6-2018.154819
- Views 248
- Downloads 0
An Introduction to the Book Titled Nature of Computation and Communication
We introduce the book with the title of “Nature of Computation and Communication” edited by Prof. Phan Cong Vinh, Dr. Emil Vassev and Prof Mike Hinchey, and published by Springer in 2015 to scientists, researchers, profe...
Best-Response Distributed Subchannel Selection for Minimizing Interference in Femtocell Networks}
We study a distributed channel allocation problem of non-cooperative OFDMA femtocells in two-tiered macro-femto networks. The objective is to maximize the total capacity of uplink macro users and femto users. We assume a...
Design and optimization of the Automatic Brown PlantHopper (BPH) light trap surveillance network
Communicating coverage of automatic BPH light trap surveillance network characterizes how well an area is monitored or tracked by automatic light traps. Connectivity is an important required that shows how nodes in a aut...
Maintenance process control: cellular automata approach
In this work we consider an industrial maintenance process control problem using cellular automata approach. The problem consists on finding an optimal control for the assignment and the displacement of agents in a spati...
Classification of objective interestingness measures
The creation of the interestingness measures for evaluating the quality of the association rule - based knowledge plays an important role in the post-processing of the Knowledge Discovery from Databases. More and more in...