{"id":{"repo_id":"laurentian","oai_identifier":"oai:laurentian.scholaris.ca:10219/2961"},"canonical_url":"https://search.dev.ndltd.org/etd/laurentian/oai:laurentian.scholaris.ca:10219/2961","repository":{"repo_id":"laurentian","name":"Laurentian University","base_url":"https://laurentian.scholaris.ca/server/oai/request"},"display":{"title":"Applying teeline shorthand using leap motion controller","abstract":"A hand gesture recognition program was developed to recognize users’ Teeline shorthand gestures as English letters, words and sentences using Leap Motion Controller. The program is intended to provide a novel way for the users to interact with electronics by waving gestures in the air to input texts instead of using keyboards. In the recognition mode, the dynamic time warping algorithm is used to compare the similarities between different templates and gesture inputs and summarize the recognition results; in the edit process, users are able to build their own gestures to customize the commands. A series of experiment results show that the program can achieve a considerable recognition accuracy, and it has consistent performance in face of different user groups.","abstract_html":"A hand gesture recognition program was developed to recognize users’ Teeline shorthand gestures as English letters, words and sentences using Leap Motion Controller. The program is intended to provide a novel way for the users to interact with electronics by waving gestures in the air to input texts instead of using keyboards. In the recognition mode, the dynamic time warping algorithm is used to compare the similarities between different templates and gesture inputs and summarize the recognition results; in the edit process, users are able to build their own gestures to customize the commands. A series of experiment results show that the program can achieve a considerable recognition accuracy, and it has consistent performance in face of different user groups.","abstract_has_math":false,"creators":["Zang, Weikai"],"institution":"Laurentian University of Sudbury","degree_name":"Master of Science (MSc) in Computational Sciences","degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017-02-08","date_published":"2017-02-08","updated_at":"2026-08-21T16:45:55Z","subjects":["Human-computer interaction","teeline shorthand","leap motion controller","dynamic time warping","hand gesture recognition"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://laurentian.scholaris.ca/handle/10219/2961","outbound_label":"Repository record","outbound_source":"dc:identifier.uri"},"source_record":{"url":"https://laurentian.scholaris.ca/server/oai/request?verb=GetRecord&metadataPrefix=dim&identifier=oai%3Alaurentian.scholaris.ca%3A10219%2F2961","prefix":"dim"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Zang, Weikai"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2018-03-21T14:11:30Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2018-03-21T14:11:30Z"]},{"key":"dc:date.issued","label":"Date","values":["2017-02-08"]},{"key":"dc:publisher","label":"Institution","values":["Laurentian University of Sudbury"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MSc) in Computational Sciences"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Laurentian University of Sudbury"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Human-computer interaction","teeline shorthand","leap motion controller","dynamic time warping","hand gesture recognition"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://laurentian.scholaris.ca/handle/10219/2961"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["A hand gesture recognition program was developed to recognize users’ Teeline shorthand gestures as English letters, words and sentences using Leap Motion Controller. The program is intended to provide a novel way for the users to interact with electronics by waving gestures in the air to input texts instead of using keyboards. In the recognition mode, the dynamic time warping algorithm is used to compare the similarities between different templates and gesture inputs and summarize the recognition results; in the edit process, users are able to build their own gestures to customize the commands. A series of experiment results show that the program can achieve a considerable recognition accuracy, and it has consistent performance in face of different user groups."]},{"key":"dc:title","label":"Title","values":["Applying teeline shorthand using leap motion controller"]}]}],"canonical_facts":{"dc:creator":["Zang, Weikai"],"dc:date.accessioned":["2018-03-21T14:11:30Z"],"dc:date.available":["2018-03-21T14:11:30Z"],"dc:date.issued":["2017-02-08"],"dc:description.abstract":["A hand gesture recognition program was developed to recognize users’ Teeline shorthand gestures as English letters, words and sentences using Leap Motion Controller. The program is intended to provide a novel way for the users to interact with electronics by waving gestures in the air to input texts instead of using keyboards. In the recognition mode, the dynamic time warping algorithm is used to compare the similarities between different templates and gesture inputs and summarize the recognition results; in the edit process, users are able to build their own gestures to customize the commands. A series of experiment results show that the program can achieve a considerable recognition accuracy, and it has consistent performance in face of different user groups."],"dc:identifier.uri":["https://laurentian.scholaris.ca/handle/10219/2961"],"dc:language.iso":["en"],"dc:publisher":["Laurentian University of Sudbury"],"dc:subject":["Human-computer interaction","teeline shorthand","leap motion controller","dynamic time warping","hand gesture recognition"],"dc:title":["Applying teeline shorthand using leap motion controller"],"dc:type":["Thesis"],"thesis:degree_name":["Master of Science (MSc) in Computational Sciences"],"thesis:institution_name":["Laurentian University of Sudbury"]},"updated_at":"2026-08-21T16:45:55Z"}