An Accurate Algorithm for the Identification of Fingertips Using an RGB-D Camera

Maisto, Maurizio; Panella, Massimo; Liparulo, Luca; Proietti, Andrea

doi:10.1109/jetcas.2013.2256830

Cited by 31 publications

(10 citation statements)

References 36 publications

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“…In this paper, we propose a novel and generalized fuzzy clustering algorithm, which is useful to analyse data for online and real-time applications [36]. The shape of clusters is generalized by using less regular structures seemingly more complex but more computationally affordable and also it is able to fit better the local distribution of data, with less sparse geometrical structures as well as using more flexible and dynamic clustering rules.…”

Section: Convex Hull Computation and Data Clusteringmentioning

confidence: 99%

Fuzzy Clustering Using the Convex Hull as Geometrical Model

Liparulo

Proietti

Panella

2015

Advances in Fuzzy Systems

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A new approach to fuzzy clustering is proposed in this paper. It aims to relax some constraints imposed by known algorithms using a generalized geometrical model for clusters that is based on the convex hull computation. A method is also proposed in order to determine suitable membership functions and hence to represent fuzzy clusters based on the adopted geometrical model. The convex hull is not only used at the end of clustering analysis for the geometric data interpretation but also used during the fuzzy data partitioning within an online sequential procedure in order to calculate the membership function. Consequently, a pure fuzzy clustering algorithm is obtained where clusters are fitted to the data distribution by means of the fuzzy membership of patterns to each cluster. The numerical results reported in the paper show the validity and the efficacy of the proposed approach with respect to other well-known clustering algorithms.

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Section: Convex Hull Computation and Data Clusteringmentioning

confidence: 99%

Fuzzy Clustering Using the Convex Hull as Geometrical Model

Liparulo

Proietti

Panella

2015

Advances in Fuzzy Systems

Self Cite

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“…Maisto et al [35] proposed an algorithm with three different variations to recognize and correctly identify the fine gestures of hands, in particular fingertips, through the use of the Kinect motion sensor. The proposed methods do work in real time without any noticeable lag and they exhibit good performances in the tests that carried out in this regard.…”

Section: Gesture Recognition Using Depth Datamentioning

confidence: 99%

Review of Literature for the Development of Indian Sign Language Recognition System

Dour¹,

Sharma²

2015

IJCA

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“…In skin color based edge detection algorithms major issue is the inaccurate hand segmentation and with the development of depth sensors which lead to correct the problems related with hand segmentation .With the invention of RGB-D based cameras [2,7] greater accuracy is then achieved in gesture detection systems. Guo presented a skin color detection and foreground detection model to track the dynamic or static hand under changing backgrounds.…”

Section: Motivation and Prior Workmentioning

confidence: 99%

Significance of Hand Gesture Recognition Systems in Vehicular Automation-A Survey

Francis¹,

Anoop²

2014

IJCA

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Hand gestures are powerful human to human communication channel which convey a major part of information transfer in our everyday life. Hand gestures are the natural way of interactions when one person is communicating with one another and therefore hand movements can be treated as a non verbal form of communication. Hand gesture recognition is a process of understanding and classifying meaningful movements by the human hands. Nowadays vehicles launched from the industry offers an increasing number of infotainment systems as well as comfort functions that can be controlled by the driver. Though they are feature rich which demands more attention of the driver and degrade the driving performance and thereby reducing the safety. The gestural interaction is a promising means to cover the full range of driver's operational needs while minimizing the visual workload. Hand gesture recognition is of great importance for human computer interaction (HCI) because of its extensive applications in virtual reality and sign language recognition etc. Human hand is very smaller with very complex articulations comparing with the entire human body and therefore errors can be easily affected. It is thus a very challenging problem to recognize hand gestures. This paper comprises of the existing methods in detecting and recognizing hand gestures and a detailed study on their performances, accuracy, convenience, operational range and design challenges etc.

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An Accurate Algorithm for the Identification of Fingertips Using an RGB-D Camera

Cited by 31 publications

References 36 publications

Fuzzy Clustering Using the Convex Hull as Geometrical Model

Fuzzy Clustering Using the Convex Hull as Geometrical Model

Review of Literature for the Development of Indian Sign Language Recognition System

Significance of Hand Gesture Recognition Systems in Vehicular Automation-A Survey

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