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An Outline of Receiver Device Or Gesture Device Components

aakanksha shisodia

Abstract


In the new era of computer science & language technology, Signal acknowledgement is a varied topic with the aim of taking human motions through mathematical algorithms. Signals can create from any physical motion or state then commonly initiate from the face or hand. Present emphases in the field comprise emotion acknowledgment from the face and hand motion response. Various methods have been completed using cameras and computer vision algorithms to understand sign language. Nevertheless, the sympathy and gratitude of pose, gait, proxemics, and humanoid performances is also the matter of signal acknowledgment methods. Signal acknowledgment can be understood as a way for computers to create to realize human body language, so constructing a comfortable bridge among machines and humans than original text operator interfaces before even GUIs (graphical user interfaces),that is still in the limit the popular of input to keyboard and mouse.

 Keywords— Graphical User Interface, sign language, motion response,decoder,microcontroller,actuator.


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References


Starner T, Auxier J, Ashbrook D, Gandy M (2000) The gesture pendant: a self-illuminating, wearable, infrared computer vision system for home automation control and medical monitoring. In: proceedings of the fourth international symposium on wearable computers, ISWC 2000, pp 87–95

Rekimoto J (2001) GestureWrist and gesturepad : unobtrusive wearable interaction devices. In: proceedings of the fifth international symposium on wearable computers, ISWC 2001, pp 21–31

Sawada H, Hashimoto S (2000) Gesture recognition using an accelerometer sensor and its application to musical performance control. Electron Commun Jpn Part 3, pp 9–17

Hoffman F, Heyer P, Hommel G (1997) Velocity profile based recognition of dynamic gestures with discrete hidden markov models. Proceedings of gesture workshop ‘97, Springer, Berlin Heidelberg, Newyork

Tsukada K, Yasumura M (2002) Ubi-finger: gesture input device for mobile use. In: Proceedings of APCHI 2002, Vol. 1, pp 388-400

Wilson A, Shafer S (2003) Between u and i: XWand: UI for intelligent spaces. In: Proceedings of the conference on human factors in computing systems, CHI 2003, April 2003, pp 545–552

Flanagan J, Mäntyjärvi J, Korpiaho K, Tikanmäki J (2002) Recognizing movements of a handheld device using symbolic representation and coding of sensor signals. In: Proceedings of the first international conference on mobile and ubiquitous multimedia, pp 104–112

Mäntylä V-M, Mäntyjärvi J, Seppänen T, Tuulari E (2000) Hand gesture recognition of a mobile device user. In: Proceedings of the international IEEE conference on multimedia and expo, pp 281–284

Theodoridis S, Koutroumbas K (1999) Pattern recognition. Academic press, London

Pirhonen A, Brewster S, Holgiun C (2002) Gestural and audio metaphors as a means of control for mobile devices. CHI 2002, April 2002, pp 291–298

Tuulari E, Ylisaukko-oja A (2002) SoapBox: a platform for ubiquitous computing research and applications. In: First international conference, Pervasive 2002, pp 26-28

Rabiner L (1998) Tutorial on hidden markov models and selected applications in speech recognition. In: Proceedings of the IEEE, Vol. 77, No. 2




DOI: https://doi.org/10.37591/jovdtt.v9i3.3697

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