User menu

Accès à distance ? S'identifier sur le proxy UCLouvain

Gelicit : A Cloud Platform for Distributed Gesture Elicitation Studies

Primary tabs

download
  • Open access
  • PDF
  • 3.49 M
Magrofuoco, Nathan [UCL] Vanderdonckt, Jean [UCL]

A gesture elicitation study, as originally defined, consists of gathering a sample of participants in a room, instructing them to produce gestures they would use for a particular set of tasks, materialized through a representation called referent, and asking them to fill in a series of tests, questionnaires, and feedback forms. Until now, this procedure is conducted manually in a single, physical, and synchronous setup. To relax the constraints imposed by this manual procedure and to support stakeholders in defining and conducting such studies in multiple contexts of use, this paper presents Gelicit, a cloud computing platform that supports gesture elicitation studies distributed in time and space structured into six stages: (1) define a study: a designer defines a set of tasks with their referents for eliciting gestures and specifies an experimental protocol by parameterizing its settings; (2) conduct a study: any participant receiving the invitation to join the study conducts the experiment anywhere, anytime, anyhow, by eliciting gestures and filling forms; (3) classify gestures: an experimenter classifies elicited gestures according to selected criteria and a vocabulary; (4) measure gestures: an experimenter computes gesture measures, like agreement, frequency, to understand their configuration; (5) discuss gestures: a designer discusses resulting gestures with the participants to reach a consensus; (6) export gestures: the consensus set of gestures resulting from the discussion is exported to be used with a gesture recognizer. The paper discusses Gelicit advantages and limitations with respect to three main contributions: as a conceptual model for gesture management, as a method for distributed gesture elicitation based on this model, and as a cloud computing platform supporting this distributed elicitation. We illustrate Gelicit through a study for eliciting 2D gestures executing Internet of Things tasks on a smartphone.

Document type Article de périodique (Journal article) – Article de recherche
Access type Accès libre
Publication date 2019
Language Anglais
Journal information "Proceedings of the ACM on Human-Computer Interaction" - Vol. 3, no.EICS, p. 1-41 (2019)
Peer reviewed yes
Publisher Association for Computing Machinery (ACM) (New York)
e-issn 2573-0142
Publication status Publié
Affiliations UCL - SSH/LouRIM - Louvain Research Institute in Management and Organizations
UCL - SST/ICTM/INGI - Pôle en ingénierie informatique
Keywords Gestural input ; Graphical user interfaces ; Web-based interaction ; Collaborative interaction ; User interface programming ; Requirements analysis ; User studies ; Field studies
Links
  1. Schipor Ovidiu-Andrei, Vatavu Radu-Daniel, Vanderdonckt Jean, Euphoria: A Scalable, event-driven architecture for designing interactions across heterogeneous devices in smart environments, 10.1016/j.infsof.2019.01.006
  2. Schipor Ovidiu-Andrei, Vatavu Radu-Daniel, Vanderdonckt Jean, Euphoria: A Scalable, event-driven architecture for designing interactions across heterogeneous devices in smart environments, 10.1016/j.infsof.2019.01.006
  3. Rodriguez Isabel Benavente, Marquardt Nicolai, Gesture Elicitation Study on How to Opt-in & Opt-out from Interactions with Public Displays, 10.1145/3132272.3134118
  4. Isabel Benavente Rodriguez and Nicolai Marquardt. 2017. Gesture Elicitation Study on How to Opt-in &
  5. Yim Dianna, Loison Garance Nicole, Fard Fatemeh Hendijani, Chan Edwin, McAllister Alec, Maurer Frank, Gesture-driven Interactions on a Virtual Hologram in Mixed Reality, 10.1145/3009939.3009948
  6. Wobbrock Jacob O., Wilson Andrew D., Li Yang, Gestures without libraries, toolkits or training: a $1 recognizer for user interface prototypes, 10.1145/1294211.1294238
  7. Wobbrock Jacob O., Morris Meredith Ringel, Wilson Andrew D., User-defined gestures for surface computing, 10.1145/1518701.1518866
  8. Wobbrock Jacob O., Aung Htet Htet, Rothrock Brandon, Myers Brad A., Maximizing the guessability of symbolic input, 10.1145/1056808.1057043
  9. Williamson Julie R., Brewster Stephen, Vennelakanti Rama, Mo!Games : evaluating mobile gestures in the wild, 10.1145/2522848.2522874
  10. Vatavu Radu-Daniel, Zaiti Ionut-Alexandru, Leap gestures for TV : insights from an elicitation study, 10.1145/2602299.2602316
  11. Vatavu Radu-Daniel, Wobbrock Jacob O., Between-Subjects Elicitation Studies : Formalization and Tool Support, 10.1145/2858036.2858228
  12. Vatavu Radu-Daniel, Wobbrock Jacob O., Formalizing Agreement Analysis for Elicitation Studies : New Measures, Significance Test, and Toolkit, 10.1145/2702123.2702223
  13. Vatavu Radu-Daniel, Anthony Lisa, Wobbrock Jacob O., $Q : a super-quick, articulation-invariant stroke-gesture recognizer for low-resource devices, 10.1145/3229434.3229465
  14. Vatavu Radu-Daniel, Anthony Lisa, Wobbrock Jacob O., Gestures as point clouds : a $P recognizer for user interface prototypes, 10.1145/2388676.2388732
  15. Vatavu Radu-Daniel, Characterizing gesture knowledge transfer across multiple contexts of use, 10.1007/s12193-017-0247-x
  16. Proceedings of the 2018 on International Conference on Multimodal Interaction - ICMI '18, 10.1145/3242969
  17. Tsandilas Theophanis, Fallacies of Agreement : A Critical Review of Consensus Assessment Methods for Gesture Elicitation, 10.1145/3182168
  18. Jeff K. T. Tang and Takeo Igarashi. 2013. CUBOD: a customized body gesture design tool for end users. In BCSHCI '13 Proceedings of the 27th International BCS Human Computer Interaction Conference, Brunel University, London, UK, 9--13 September 2013, Steve Love, Kate S. Hone, and Tom McEwan (Eds.). British Computer Society, 5. http: //dl.acm.org/citation.cfm?id=2578056
  19. Stec Kashmiri, Larsen Lars Bo, Gestures for Controlling a Moveable TV, 10.1145/3210825.3210831
  20. Speicher Maximilian, Nebeling Michael, GestureWiz : A Human-Powered Gesture Design Environment for User Interface Prototypes, 10.1145/3173574.3173681
  21. Spano Lucio Davide, Cisternino Antonio, Paternò Fabio, Fenu Gianni, GestIT : a declarative and compositional framework for multiplatform gesture definition, 10.1145/2494603.2480307
  22. Tiffanie R. Smith and Juan E. Gilbert. 2018. Dancing to Design: A Gesture Elicitation Study. In Proceedings of the 17th ACM Conference on Interaction Design and Children (IDC '18). ACM, New York, NY, USA, 638--643. https: //doi.org/10.1145/3202185.3210790
  23. Signer B., Kurmann U., Norrie M., iGesture: A General Gesture Recognition Framework, 10.1109/icdar.2007.4377056
  24. Seyed Teddy, Burns Chris, Costa Sousa Mario, Maurer Frank, Tang Anthony, Eliciting usable gestures for multi-display environments, 10.1145/2396636.2396643
  25. Russell Nick, van der Aalst Wil M.P., ter Hofstede Arthur H. M., Workflow Patterns : The Definitive Guide, ISBN:9780262329408, 10.7551/mitpress/8085.001.0001
  26. Rusnák Vít, Appert Caroline, Chapuis Olivier, Pietriga Emmanuel, Designing Coherent Gesture Sets for Multi-scale Navigation on Tabletops, 10.1145/3173574.3173716
  27. Ruiz Jaime, Vogel Daniel, Soft-Constraints to Reduce Legacy and Performance Bias to Elicit Whole-body Gestures with Low Arm Fatigue, 10.1145/2702123.2702583
  28. Ruiz Jaime, Li Yang, Lank Edward, User-defined motion gestures for mobile interaction, 10.1145/1978942.1978971
  29. Rubine Dean, Specifying gestures by example, 10.1145/122718.122753
  30. Piumsomboon Thammathip, Clark Adrian, Billinghurst Mark, Cockburn Andy, User-defined gestures for augmented reality, 10.1145/2468356.2468527
  31. Pham Tran, Vermeulen Jo, Tang Anthony, MacDonald Vermeulen Lindsay, Scale Impacts Elicited Gestures for Manipulating Holograms : Implications for AR Gesture Design, 10.1145/3196709.3196719
  32. Michael Nielsen, Moritz Störring, Thomas B. Moeslund, and Erik Granum. 2004. A Procedure for Developing Intuitive and Ergonomic Gesture Interfaces for HCI. In Gesture-Based Communication in Human-Computer Interaction, Antonio Camurri and Gualtiero Volpe (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 409--420.
  33. Nebeling Michael, To Alexandra, Guo Anhong, de Freitas Adrian A., Teevan Jaime, Dow Steven P., Bigham Jeffrey P., WearWrite : Crowd-Assisted Writing from Smartwatches, 10.1145/2858036.2858169
  34. Nebeling Michael, Teunissen Elena, Husmann Maria, Norrie Moira C., XDKinect : development framework for cross-device interaction using kinect, 10.1145/2607023.2607024
  35. Michael Nebeling, Maximilian Speicher, and Moira C. Norrie. 2013. CrowdStudy: general toolkit for crowdsourced evaluation of web interfaces. In ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS'13, London, United Kingdom - June 24 - 27, 2013, Peter Forbrig, Prasun Dewan, Michael Harrison, and Kris Luyten (Eds.). ACM, 255--264. https://doi.org/10.1145/2480296.2480303
  36. Nebeling Michael, Ott David, Norrie Moira C., Kinect analysis : a system for recording, analysing and sharing multimodal interaction elicitation studies, 10.1145/2774225.2774846
  37. Nebeling Michael, Huber Alexander, Ott David, Norrie Moira C., Web on the Wall Reloaded : Implementation, Replication and Refinement of User-Defined Interaction Sets, 10.1145/2669485.2669497
  38. Nacenta Miguel A., Kamber Yemliha, Qiang Yizhou, Kristensson Per Ola, Memorability of pre-designed and user-defined gesture sets, 10.1145/2470654.2466142
  39. Meredith Ringel Morris, Jacob O. Wobbrock, and Andrew D. Wilson. 2010. Understanding Users' Preferences for Surface Gestures. In Proceedings of Graphics Interface 2010 (GI '10). Canadian Information Processing Society, Toronto, Ont., Canada, Canada, 261--268. http://dl.acm.org/citation.cfm?id=1839214.1839260
  40. Morris Meredith Ringel, Danielescu Andreea, Drucker Steven, Fisher Danyel, Lee Bongshin, schraefel c., Wobbrock Jacob O., Reducing legacy bias in gesture elicitation studies, 10.1145/2591689
  41. Mori G., Paterno F., Santoro C., CTTE: support for developing and analyzing task models for interactive system design, 10.1109/tse.2002.1027801
  42. Gourav Modanwal and Kishor Sarawadekar. 2018. A Gesture Elicitation Study with Visually Impaired Users. In HCI International 2018 -- Posters' Extended Abstracts, Constantine Stephanidis (Ed.). Springer International Publishing, Cham, 54--61.
  43. Fabrizio Milazzo, Vito Gentile, Antonio Gentile, and Salvatore Sorce. 2018. KIND-DAMA: A modular middleware for Kinect-like device data management. Software: Practice and Experience 48, 1 (2018), 141--160. https://doi.org/10.1002/ spe.2521 spe.2521.
  44. McAweeney Erin, Zhang Haihua, Nebeling Michael, User-Driven Design Principles for Gesture Representations, 10.1145/3173574.3174121
  45. Mauney Dan, Howarth Jonathan, Wirtanen Andrew, Capra Miranda, Cultural similarities and differences in user-defined gestures for touchscreen user interfaces, 10.1145/1753846.1754095
  46. Maher Mary Lou, Lee Lina, Designing for Gesture and Tangible Interaction, 10.2200/s00758ed1v01y201702hci036
  47. Madapana Naveen, Gonzalez Glebys, Rodgers Richard, Zhang Lingsong, Wachs Juan P., Gestures for Picture Archiving and Communication Systems (PACS) operation in the operating room: Is there any standard?, 10.1371/journal.pone.0198092
  48. Lü Hao, Li Yang, Gesture studio : authoring multi-touch interactions through demonstration and declaration, 10.1145/2470654.2470690
  49. Lü Hao, Li Yang, Gesture coder : a tool for programming multi-touch gestures by demonstration, 10.1145/2207676.2208693
  50. Lü Hao, Fogarty James A., Li Yang, Gesture script : recognizing gestures and their structure using rendering scripts and interactively trained parts, 10.1145/2556288.2557263
  51. Long Allan Christian, Landay James A., Rowe Lawrence A., Implications for a gesture design tool, 10.1145/302979.302985
  52. Lars Lischke, Pascal Knierim, and Hermann Klinke. 2015. Mid-Air Gestures for Window Management on Large Displays. In Mensch und Computer 2015 -- Proceedings, Sarah Diefenbach, Niels Henze, and Martin Pielot (Eds.). De Gruyter Oldenbourg, Berlin, 439--442.
  53. Rensis Likert. 1932. A technique for the measurement of attitudes. Archives of Psychology 22, 140 (1932), 55--. http://psycnet.apa.org/record/1933-01885-001
  54. Liang Hai-Ning, Williams Cary, Semegen Myron, Stuerzlinger Wolfgang, Irani Pourang, User-defined surface+motion gestures for 3d manipulation of objects at a distance through a mobile device, 10.1145/2350046.2350098
  55. Lewis James R., Sample sizes for usability tests : mostly math, not magic, 10.1145/1167948.1167973
  56. Lewis James R., Psychometric Evaluation of the PSSUQ Using Data from Five Years of Usability Studies, 10.1080/10447318.2002.9669130
  57. Lewis James R., IBM computer usability satisfaction questionnaires: Psychometric evaluation and instructions for use, 10.1080/10447319509526110
  58. David R. Lenorovitz, Mark D. Phillips, R.S. Ardrey, and Gregory V. Kloster. 1984. A taxonomic approach to characterizing human-computer interaction. In Human-Computer Interaction, Gabriel Salvendy (Ed.). Elsevier Science Publishers, Amsterdam, 111--116.
  59. Richard Krueger and Mary Anne Casey. 2000. Focus Groups: A Practical Guide for Applied Research. Sage Publications, Thousand Oaks, CA.
  60. Nikhil Krishnaswamy, Pradyumna Narayana, IsaacWang, Kyeongmin Rim, Rahul Bangar, Dhruva Patil, Gururaj Mulay, Ross Beveridge, Jaime Ruiz, Bruce Draper, and James Pustejovsky. 2017. Communicating and Acting: Understanding Gesture in Simulation Semantics. In IWCS 2017 - 12th International Conference on Computational Semantics - Short papers. http://aclweb.org/anthology/W17--6919
  61. Christian Kray, Daniel Nesbitt, John Dawson, and Michael Rohs. 2010. User-defined Gestures for Connecting Mobile Phones, Public Displays, and Tabletops. In Proceedings of the 12th International Conference on Human Computer Interaction with Mobile Devices and Services (MobileHCI '10). ACM, New York, NY, USA, 239--248. https://doi.org/10. 1145/1851600.1851640
  62. Köpsel Anne, Bubalo Nikola, Benefiting from legacy bias, 10.1145/2803169
  63. Kin Kenrick, Hartmann Björn, DeRose Tony, Agrawala Maneesh, Proton++ : a customizable declarative multitouch framework, 10.1145/2380116.2380176
  64. Kerber Frederic, Puhl Michael, Krüger Antonio, User-independent real-time hand gesture recognition based on surface electromyography, 10.1145/3098279.3098553
  65. Jokela Tero, Rezaei Parisa Pour, Väänänen Kaisa, Using elicitation studies to generate collocated interaction methods, 10.1145/2957265.2962654
  66. Jang Sujin, Elmqvist Niklas, Ramani Karthik, GestureAnalyzer : visual analytics for pattern analysis of mid-air hand gestures, 10.1145/2659766.2659772
  67. Hosseini-Khayat Ali, Seyed Teddy, Burns Chris, Maurer Frank, Low-fidelity prototyping of gesture-based applications, 10.1145/1996461.1996538
  68. Simon Holmes. 2015. Getting MEAN with Mongo, Express,Angular and Node. Manning Publications, Shelter Island, New York, United States.
  69. Hoff Lynn, Hornecker Eva, Bertel Sven, Modifying Gesture Elicitation : Do Kinaesthetic Priming and Increased Production Reduce Legacy Bias?, 10.1145/2839462.2839472
  70. Hayati Havlucu, Mehmet Yarkn Ergin, dil Bostan, O'uz Turan Buruk, Tilbe Göksun, and Oguzhan Özcan. 2017. It Made More Sense: Comparison of User-Elicited On-skin Touch and Freehand Gesture Sets. In Distributed, Ambient and Pervasive Interactions, Norbert Streitz and Panos Markopoulos (Eds.). Springer International Publishing, Cham, 159--171.
  71. Gonzalez-Calleros Juan Manuel, Guerrero-Garcia Josefina, Vanderdonckt Jean, Munoz-Arteaga Jaime, Towards Canonical Task Types for User Interface Design, 10.1109/la-web.2009.33
  72. Gheran Bogdan-Florin, Vanderdonckt Jean, Vatavu Radu-Daniel, Gestures for Smart Rings : Empirical Results, Insights, and Design Implications, 10.1145/3196709.3196741
  73. Gatto Ivano, Pittarello Fabio, Prototyping a gestural interface for selecting and buying goods in a public environment, 10.1145/2254556.2254713
  74. Findlater Leah, Lee Ben, Wobbrock Jacob, Beyond QWERTY : augmenting touch screen keyboards with multi-touch gestures for non-alphanumeric input, 10.1145/2207676.2208660
  75. Sebastian Feuerstack, Mauro Dos Santos Anjo, and Ednaldo B. Pizzolato. 2011. Model-based Design and Generation of a Gesture-based User Interface Navigation Control. In Proceedings of the 10th Brazilian Symposium on Human Factors in Computing Systems and the 5th Latin American Conference on Human-Computer Interaction (IHC+CLIHC '11). Brazilian Computer Society, Porto Alegre, Brazil, Brazil, 227--231. http://dl.acm.org/citation.cfm?id=2254436.2254475
  76. Felberbaum Yasmin, Lanir Joel, Better Understanding of Foot Gestures : An Elicitation Study, 10.1145/3173574.3173908
  77. Proceedings of the 2011 annual conference on Human factors in computing systems - CHI '11, 10.1145/1978942
  78. Dong Haiwei, Danesh Ali, Figueroa Nadia, Saddik Abdulmotaleb El, An Elicitation Study on Gesture Preferences and Memorability Toward a Practical Hand-Gesture Vocabulary for Smart Televisions, 10.1109/access.2015.2432679
  79. Dingler Tilman, Rzayev Rufat, Shirazi Alireza Sahami, Henze Niels, Designing Consistent Gestures Across Device Types : Eliciting RSVP Controls for Phone, Watch, and Glasses, 10.1145/3173574.3173993
  80. Dim Nem Khan, Silpasuwanchai Chaklam, Sarcar Sayan, Ren Xiangshi, Designing Mid-Air TV Gestures for Blind People Using User- and Choice-Based Elicitation Approaches, 10.1145/2901790.2901834
  81. Adrien Coyette, Sascha Schimke, Jean Vanderdonckt, and Claus Vielhauer. 2007. Trainable Sketch Recognizer for Graphical User Interface Design. In Human-Computer Interaction -- INTERACT 2007, Cécilia Baranauskas, Philippe Palanque, Julio Abascal, and Simone Diniz Junqueira Barbosa (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 124--135.
  82. Connell Sabrina, Kuo Pei-Yi, Liu Liu, Piper Anne Marie, A Wizard-of-Oz elicitation study examining child-defined gestures with a whole-body interface, 10.1145/2485760.2485823
  83. Chen Xiang 'Anthony', Schwarz Julia, Harrison Chris, Mankoff Jennifer, Hudson Scott E., Air+touch : interweaving touch & in-air gestures, 10.1145/2642918.2647392
  84. Alessandro Checco, Kevin Roitero, Eddy Maddalena, Stefano Mizzaro, and Gianluca Demartini. 2017. Let's Agree to Disagree: Fixing Agreement Measures for Crowdsourcing. In Proceedings of the Fifth AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2017, 23--26 October 2017, Québec City, Québec, Canada., Steven Dow and Adam Tauman Kalai (Eds.). AAAI Press, 11--20. https://aaai.org/ocs/index.php/HCOMP/HCOMP17/paper/view/15927
  85. Chan Edwin, Seyed Teddy, Stuerzlinger Wolfgang, Yang Xing-Dong, Maurer Frank, User Elicitation on Single-hand Microgestures, 10.1145/2858036.2858589
  86. Stefano Carrino, Elena Mugellini, Omar Abou Khaled, and Rolf Ingold. 2011. ARAMIS: Toward a Hybrid Approach for Human- Environment Interaction. In Human-Computer Interaction. Towards Mobile and Intelligent Interaction Environments, Julie A. Jacko (Ed.). Springer Berlin Heidelberg, Berlin, Heidelberg, 165--174.
  87. Carcangiu Alessandro, Spano Lucio Davide, G-Gene : A Gene Alignment Method for Online Partial Stroke Gestures Recognition, 10.1145/3229095
  88. Gaëlle Calvary, Joëlle Coutaz, David Thevenin, Quentin Limbourg, Laurent Bouillon, and Jean Vanderdonckt. 2003. A Unifying Reference Framework for multi-target user interfaces. Interacting with Computers 15, 3 (2003), 289--308. https://doi.org/10.1016/S0953--5438(03)00010--9
  89. Buzzi Maria Claudia, Buzzi Marina, Leporini Barbara, Trujillo Amaury, Exploring Visually Impaired People's Gesture Preferences for Smartphones, 10.1145/2808435.2808448
  90. Buruk Oăuz Turan, Özcan Oăuzhan, GestAnalytics : Experiment and Analysis Tool for Gesture-Elicitation Studies, 10.1145/3064857.3079114
  91. Bostan Idil, Buruk Oăuz Turan, Canat Mert, Tezcan Mustafa Ozan, Yurdakul Celalettin, Göksun Tilbe, Özcan Oăuzhan, Hands as a Controller : User Preferences for Hand Specific On-Skin Gestures, 10.1145/3064663.3064766
  92. Bomsdorf Birgit, Blum Rainer, Künkel Daniel, Towards ProGesture, a Tool Supporting Early Prototyping of 3D-Gesture Interaction : , 10.4018/ijpop.2015070103
  93. Beuvens François, Vanderdonckt Jean, Designing graphical user interfaces integrating gestures, 10.1145/2379057.2379116
  94. Belleflamme Paul, Lambert Thomas, Schwienbacher Armin, Crowdfunding: Tapping the right crowd, 10.1016/j.jbusvent.2013.07.003
  95. Beşevli Ceylan, Buruk Oğuz Turan, Erkaya Merve, Özcan Oğuzhan, Investigating the Effects of Legacy Bias : User Elicited Gestures from the End Users Perspective, 10.1145/3197391.3205449
  96. Ashbrook Daniel, Starner Thad, MAGIC : a motion gesture design tool, 10.1145/1753326.1753653
  97. Arefin Shimon Shaikh Shawon, Lutton Courtney, Xu Zichun, Morrison-Smith Sarah, Boucher Christina, Ruiz Jaime, Exploring Non-touchscreen Gestures for Smartwatches, 10.1145/2858036.2858385
  98. Lisa Anthony and Jacob O. Wobbrock. 2010. A lightweight multistroke recognizer for user interface prototypes. In Proceedings of the Graphics Interface 2010 Conference, May 31 - June 02, 2010, Ottawa, Ontario, Canada, David Mould and Sylvie Noël (Eds.). ACM / Canadian Human-Computer Communications Society, 245--252. http://portal.acm.org/ citation.cfm?id=1839258&CFID=37966912&CFTOKEN=40351478
  99. Ali Abdullah X., Morris Meredith Ringel, Wobbrock Jacob O., Crowdsourcing Similarity Judgments for Agreement Analysis in End-User Elicitation Studies, 10.1145/3242587.3242621
  100. Akpan Imeh, Marshall Paul, Bird Jon, Harrison Daniel, Exploring the effects of space and place on engagement with an interactive installation, 10.1145/2470654.2481306
  101. Adams Anne, Cox Anna L., Questionnaires, in-depth interviews and focus groups, Research Methods for Human–Computer Interaction ISBN:9780511814570 p.17-34, 10.1017/cbo9780511814570.003
  102. Mahmoud Abduo and Matthias Galster. 2015. Myo Gesture Control Armband for Medical Applications. Technical Report. University of Canterbury, College of Engineering. http://www.cosc.canterbury.ac.nz/research/reports/HonsReps/ abstracts/1502_abs.html
Bibliographic reference Magrofuoco, Nathan ; Vanderdonckt, Jean. Gelicit : A Cloud Platform for Distributed Gesture Elicitation Studies. In: Proceedings of the ACM on Human-Computer Interaction, Vol. 3, no.EICS, p. 1-41 (2019)
Permanent URL http://hdl.handle.net/2078.1/216720