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Abstract

We all gesture as we talk, albeit mostly unconsciously. The gestures we produce support and supplement what we are saying. In different cultures, however, the very same gestures may carry very different meanings.
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Authors and Affiliations

Maciej Rosiński
1

  1. Institute of English Studies, University of Warsaw
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Abstract

Basic gesture sensors can play a significant role as input units in mobile smart devices. However, they have to handle a wide variety of gestures while preserving the advantages of basic sensors. In this paper a user-determined approach to the design of a sparse optical gesture sensor is proposed. The statistical research on a study group of individuals includes the measurement of user-related parameters like the speed of a performed swipe (dynamic gesture) and the morphology of fingers. The obtained results, as well as other a priori requirements for an optical gesture sensor were further used in the design process. Several properties were examined using simulations or experimental verification. It was shown that the designed optical gesture sensor provides accurate localization of fingers, and recognizes a set of static and dynamic hand gestures using a relatively low level of power consumption.

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Authors and Affiliations

Krzysztof Czuszyński
Jacek Rumiński
Jerzy Wtorek
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Abstract

The research of robotics needs a good and accurate control. The proposed concept is touch less and non-verbal communication with the use of leap motion controller. The concept has two major parts: first part is “device perceive hand finger moments and send signal”, second part is robotic hand interfaced with PIC microcontroller which receives signal and controls robotic hand. The paper aims to link virtual environment with real time environment. The virtual environment is consisting of leap motion controller and laptop, real time environment is consisting of microcontroller and robotic arm. In real time environment parodist is converts into virtual environment.
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Bibliography

[1] A. Saudabayev, H.A. Varol, “Sensors for robotic hands: A survey of state of the art”. IEEE Access. 2015;3: 1765-82.
[2] J. Kofman, X. Wu, T.J. Luu, S. Verma,. “Teleoperation of a robot manipulator using a vision-based human-robot interface”, IEEE Transactions on Industrial Electronics. 2005 Oct;52(5): 1206-19.
[3] N.S. Chu, C.L. Tai, “Real-time painting with an expressive virtual Chinese brush”, IEEE Computer Graphics and Applications. 2004 Sep;24(5): 76-85.
[4] D. Kruse, J.T. Wen, R.J. Radke, “A sensor-based dual-arm tele-robotic system”, IEEE Transactions on Automation Science and Engineering. 2015 Jan;12(1): 4-18.
[5] H. Jiang, B.S. Duerstock, J.P. Wachs. “A machine vision-based gestural interface for people with upper extremity physical impairments”, IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2013 Aug 8;44(5): 630-41
[6] .A.S. Elons, M. Ahmed, H. Shedid, M.F. Tolba, “Arabic sign language recognition using leap motion sensor”, In 2014 9th International Conference on Computer Engineering & Systems (ICCES) 2014 Dec 22 (pp. 368-373). IEEE.
[7] S. Hirche, M. Buss, “Human-oriented control for haptic teleoperation”, Proceedings of the IEEE. 2012 Mar;100(3): 623-47.
[8] K.M. Vamsikrishna, D.P. Dogra, M.S. Desarka, “Computer-vision-assisted palm rehabilitation with supervised learning”, IEEE Transactions on Biomedical Engineering. 2016 May;63(5): 991-1001.
[9] G. Ponraj, H. Ren, “Sensor Fusion of Leap Motion Controller and Flex Sensors Using Kalman Filter for Human Finger Tracking”, IEEE Sensors Journal. 2018 Mar 1;18(5): 2042-9.
[10] K. Aditya, P. Chacko, D. Kumari, S. Bilgaiyan, “Recent Trends in HCI: A survey on Data Glove, LEAP Motion and Microsoft Kinect”, In 2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA) 2018 Jul 6 (pp. 1-5). IEEE.
[11] S. Mitra, T. Acharya, “Gesture recognition: A survey”. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews). 2007 May;37(3): 311-24.
[12] S. Waldherr, R. Romero, S.A. Thrun, A gesture based interface for h”uman-robot interaction. Autonomous Robots”, 2000 Sep 1;9(2): 151-73.
[13] G. Marin, F. Dominio, P. Zanuttigh. Hand gesture recognition with leap motion and kinect devices. In2014 IEEE International Conference on Image Processing (ICIP) 2014 Oct 27 (pp. 1565-1569). IEEE.
[14] A. Sarkar, K.A. Patel, R.G. Ram, G.K. Capoor, “ Gesture control of drone using a motion controller”. In2016 International Conference on Industrial Informatics and Computer Systems (CIICS) 2016 Mar 13 (pp. 1-5). IEEE.
[15] R .Satheeshkumar and R. Arivoli , ” Real Time Virtual Human Hand For Robotics.” Journal of Computational Information Systems 15.1 (2019): 82-89.
[16] R. Satheeshkumar and R. Arivoli , "Real Time Virtual Human Hand for Diagnostic Robot (DiagBot) Arm Using IOT“ Journal of Advanced Research in Dynamical and Control System, Vol. 12, 01-Special Issue, 2020.
[17] R. Satheeshkumar and R. Arivoli , "Real Time Robotic Arm Control Using Human Hand Gesture Measurement “ Journal of Advanced Research in Dynamical and Control System, Vol. 12, 04-Special Issue, 2020.
[18] R. Satheeshkumar and R. Arivoli, "IOT Integrated Virtual Hand for Robotic Arm Using Leap Motion Controller" The Journal of Research on the Lepidoptera, Vol. 12, 04-Special Issue, 2020.
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Authors and Affiliations

R. Satheeshkumar
1
R. Arivoli
1

  1. Annamalai University, India
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Abstract

The field of research of this paper combines Human Computer Interface, gesture recognition and fingertips tracking. Most gesture recognition algorithms processing color images are unable to locate folded fingers hidden inside hand contour. With use of hand landmarks detection and localization algorithm, processing directional images, the fingertips are tracked whether they are risen or folded inside the hand contour. The capabilities of the method, repeatibility and accuracy, are tested with use of 3 gestures that are recorded on the USB camera. Fingertips are tracked in gestures presenting a linear movement of an open hand, finger folding into fist and clenched fist movement. In conclusion, a discussion of accuracy in application to HCI is presented.

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Authors and Affiliations

Tomasz Grzejszczak
Reinhard Molle
Robert Roth
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Abstract

Despite the large number of studies conducted on teachers’ oral corrective feedback, the findings of these studies have been mainly limited to cognitive orientations rooted in experimental designs and the verbal discourse of the teacher as the main object of inquiry. Considering teachers’ affective concerns regarding their corrective feedback and the shift from negative psychology to positive psychology in the field of second/foreign language teaching as well as the entirety of the teacher’s corrective repertoire, in this case study, we aimed to explore the enjoyment building capacity of a teacher’s multimodal corrective feedback in a university general English course. We video-recorded the teacher’s multimodal corrective feedback including verbal and nonverbal semiotic resources like gesture, gaze, and posture while observing the learners’ emotional experiences for eight sessions. We also conducted stimulated recall interviews with some learners and collected their written journals about the experiences of enjoyment with regard to the teacher’s multimodal corrective feedback scenarios. The teacher’s multimodal corrective feedback was analyzed through systemic functional multimodal discourse analysis (SF-MDA) and the content of the interview transcripts as well as the written journals were qualitatively analyzed. The findings indicated that the teacher’s inherent multimodality in his corrective feedback broadened the main dimensions of enjoyment by raising the learners’ attention to their errors, heightening their focus on the correct form, and increasing the salience of his corrective feedback. Further arguments regarding the findings are discussed.

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Authors and Affiliations

Mokarrameh Bayat
Majid Elahi Shirvan
ORCID: ORCID
Elyas Barabadi
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Abstract

The subject of the analysis and interpretation of this article consists in philosophy and poetics of photography as a medium of memory in Maria Stepanova’s novel Pamyati Pamyati [In Memory of Memory]. Meanwhile, it is aimed at revealing a unique attitude of the novel’s author towards photography and its derivatives as a medium of memory and yet towards memory itself as a mandatory obligation in its essence for all the generations after the Holocaust. In a given context the notion of postmemory is binding and, hence, a separate part of the article is devoted to it. In view of the centuries-old and universal interest around the phenomenon of memory, mainly in the existential context, at the beginning of the article the emphasis is solely put on several selected aspects of it as articulated by Aristotle, Plato, Saint Augustine, Walter Benjamin and Paul Ricoeur. Respectively, the following terms are addressed by them: memoria, aisthesis, gesture of passage or picture – monument. In the article it has been shown that Stepanova is fascinated by the truth of time, the premonition of the Holocaust. She searched the shadows of the past on the faces and in the events captured in the pre-war film frames in such a way that one can experience his connection with that world, discover himself internally in that structure because, as she claims, her text is the novel about non-memory.

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Authors and Affiliations

Joanna Tarkowska
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Abstract

Remarkable contemporary Lebanese artist Akram Zaatari reveals a complicated post-war situation of multicultural society of the Middle East in the context of the Ottoman Empire. He compares his conceptual artistic practice to the work of the archaeologist on excavations. Being the artist-as-archivist, he recalls the European humanism in the heroic version of existentialism.
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Authors and Affiliations

Zofia Chojnacka
1
ORCID: ORCID

  1. Instytut Sztuki PAN
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Abstract

Monitoring head movements is important in many aspects of life from medicine and rehabilitation to sports, and VR entertainment. In this study, we used recordings from two sensors, i.e. an accelerometer and a gyroscope, to calculate the angles of movement of the gesturing person’s head. For the yaw motion, we proposed an original algorithm using only these two inertial sensors and the detected motion type obtained from a pre-trained SVM classifier. The combination of the gyroscope data and the detected motion type allowed us to calculate the yaw angle without the need for other sensors, such as a magnetometer or a video camera. To verify the accuracy of our algorithm, we used a robotic arm that simulated head gestures where the angle values were read out from the robot kinematics. The calculated yaw angles differed from the robot’s readings with a mean absolute error of approx. 1 degree and the rate of differences between these values exceeding 5 degrees was significantly below 1 percent except for one outlier at 1.12%. This level of accuracy is sufficient for many applications, such as VR systems, human-system interfaces, or rehabilitation.
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Authors and Affiliations

Anna Borowska-Terka
1
Paweł Strumiłło
1

  1. Łódz University of Technology, Faculty of Electrical, Electronic, Computer and Control Engineering, Institute of Electronics, Al. Politechniki 10, 93-590 Łódz, Poland

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