Applying teeline shorthand using leap motion controller

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.

Name thesis:degree_name

Master of Science (MSc) in Computational Sciences

Grantor dc:publisher

Laurentian University of Sudbury

Year dc:date.issued

2017

Author dc:creator

• Zang, Weikai

• Human-computer interaction
• teeline shorthand
• leap motion controller
• dynamic time warping
• hand gesture recognition

Language dc:language.iso

en

Repository record dc:identifier.uri

https://laurentian.scholaris.ca/handle/10219/2961

OAI record oai:identifier

https://laurentian.scholaris.ca/server/oai/request?verb=GetRecord&metadataPrefix=dim&identifier=oai%3Alaurentian.scholaris.ca%3A10219%2F2961