%0 Conference Paper %1 bianchini2018differences %A Bianchini, Claudia S. %A Chevrefils, Léa %A Danet, Claire %A Doan, Patrick %A Rébulard, Morgane %A Contesse, Adrien %A Boutet, Dominique %B Proc. 5th Intl Conf. Movement and Computing %C New York NY %D 2018 %I ACM %K Typannot myown sign-languages %N sect. 1 (9) %P 1-8 %R 10.1145/3212721.3212808 %T Coding movement in sign languages: the Typannot approach. %X Typannot is an innovative transcription system (TranSys) for Sign Languages (SLs), based on robust graphematic and coherent typographic formulas. It is characterized by readability, writability, seachability, genericity and modularity. Typannot can be used to record handshapes, mouth actions, facial expressions, initial locations (LOCini) and movements of the upper limbs (MOV). For LOCine and MOV, Typannot uses intrinsic frames of reference (iFoR) to describe the position of each segment (arm, forearm, hand) in terms of degrees of freedom (DoF). It assumes that the motion is subdivided into a complex moment of initial preparation, leading to the stabilization of a LOCini, and a subsequent phase of MOV deployment based on simple motor patterns. The goal of Typannot is not only to create a new TranSys, but also to provide an instrument to advance the knowledge about SLs. The observation of the SLs makes it possible to formulate various hypotheses, among which: i) MOV follows a simple motor scheme that aims at minimizing motor control during MOV; ii) proximal→distal flows of MOV are predominant in SLs. Only the use of a TranSys based on an iFoR and the description of the DoF makes it possible to explore the data in order to test these hypotheses. %@ 978-1-4503-6504-8

@inproceedings{bianchini2018differences, abstract = {Typannot is an innovative transcription system (TranSys) for Sign Languages (SLs), based on robust graphematic and coherent typographic formulas. It is characterized by readability, writability, seachability, genericity and modularity. Typannot can be used to record handshapes, mouth actions, facial expressions, initial locations (LOCini) and movements of the upper limbs (MOV). For LOCine and MOV, Typannot uses intrinsic frames of reference (iFoR) to describe the position of each segment (arm, forearm, hand) in terms of degrees of freedom (DoF). It assumes that the motion is subdivided into a complex moment of initial preparation, leading to the stabilization of a LOCini, and a subsequent phase of MOV deployment based on simple motor patterns. The goal of Typannot is not only to create a new TranSys, but also to provide an instrument to advance the knowledge about SLs. The observation of the SLs makes it possible to formulate various hypotheses, among which: i) MOV follows a simple motor scheme that aims at minimizing motor control during MOV; ii) proximal→distal flows of MOV are predominant in SLs. Only the use of a TranSys based on an iFoR and the description of the DoF makes it possible to explore the data in order to test these hypotheses.}, added-at = {2024-05-19T15:50:30.000+0200}, address = {New York NY}, author = {Bianchini, Claudia S. and Chevrefils, Léa and Danet, Claire and Doan, Patrick and Rébulard, Morgane and Contesse, Adrien and Boutet, Dominique}, biburl = {https://www.bibsonomy.org/bibtex/24ec3c16133cc05098295f1867e8f816c/claudias}, booktitle = {Proc. 5th Intl Conf. Movement and Computing}, description = {Scopus 85055319370 WoS 000629501300007 IDS BR0KR}, doi = {10.1145/3212721.3212808}, interhash = {0cd024493ec346be1f501e75e4dc9f66}, intrahash = {4ec3c16133cc05098295f1867e8f816c}, isbn = {978-1-4503-6504-8}, keywords = {Typannot myown sign-languages}, language = {English}, number = {sect. 1 (9)}, organization = {Association for Computing Machinery}, pages = {1-8}, publisher = {ACM}, timestamp = {2024-05-19T15:55:17.000+0200}, title = {Coding movement in sign languages: the Typannot approach.}, venue = {Genova}, year = 2018 }