Mimicking the Movements of the Human Hand using Leap Motion Sensor for Different Users
Maritoni M. Alano1, Joseph B. Olleres2, Ma. Dolores R. Rico3, Jettro A. Satsatin4, Jonalyn M. Solomo5, Roselito E. Tolentino6
1Maritoni M. Alano, is a graduate of Polytechnic University of the Philippines Sta. Rosa Campus.
2Joseph B. Olleres, is a graduate of Polytechnic University of the Philippines Sta. Rosa Campus.
3Ma. Dolores R. Rico, is a graduate of Polytechnic University of the Philippines Sta. Rosa Campus.
4Jettro A. Satsatin, is a graduate of Polytechnic University of the Philippines Sta. Rosa Campus.
5Jonalyn M. Solomo, is currently studying in Polytechnic University of the Philippines Sta. Rosa Campus.
6Roselito E. Tolentino, is with Polytechnic University of the Philippines – Santa Rosa Campus and De La Salle University – Dasmarinas as part time Instructor.
Manuscript received on February 12, 2016. | Revised Manuscript received on February 15, 2016. | Manuscript published on February 25, 2016. | PP: 35-42 | Volume-4 Issue-3, February 2016. | Retrieval Number: C1065024316
Open Access | Ethics and Policies | Cite
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The researchers considered the disadvantage of using a Cyber gloves sensor that was always needed a calibration for mimicking a robotic hand. It is simply because human hand dimensions are not standard. For every person that would use the glove to operate a teleportation, there would be a different hand configuration to be able to perform the various tasks. Individual calibration is needed because each human hand has his personal calibration. Therefore, the researchers use Leap Motion sensor with the aid of a professional, high-precision, and fast motion tracking system which is designed to be placed on a physical desktop, facing upward to track human hands and fingers and then the researchers employed vector dot product method for the algorithm in order to acquire data in controlling a robotic hand to mimic the movements of the human hand for different users.
Keywords: Leap Motion sensor, Mimicking, Robotic hand, Scalar product