title: Platform for the study of virtual task-oriented motion and its evaluation by EEG and EMG biopotentials.
abstract: This paper presents a platform to study the relationship between upper limb kinematic and biopotential measurements. The platform comprises of a haptic joystick, biopotential acquisition systems and 3D rendered virtual tasks that require user interaction. The haptic joystick, named TeeR, reproduces the pronation-supination and flexion-extension movements of the human arm, which are directly mapped to a 2D graphic display. The biopotential acquisition system is able to record electroencephalography (EEG) and electromyography (EMG) signals and synchronize them with kinematic data obtained from the Tee-R. The 3D virtual tasks are designed to obtain performance measurements from the user interaction. We include an example that depicts the possibilities of application for the study of event-related (de)synchronization (ERD/ERS) based on EEG during motor tasks.
authors.forename: Ivan
authors.initials: I
authors.lastname: Figueroa-Garcia
authors.forename: Omar
authors.initials: O
authors.lastname: Aguilar-Leal
authors.forename: Ana G
authors.initials: AG
authors.lastname: Hernandez-Reynoso
authors.forename: Jimena
authors.initials: J
authors.lastname: Madrigal
authors.forename: Rita Q
authors.initials: RQ
authors.lastname: Fuentes
authors.forename: Joel C
authors.initials: JC
authors.lastname: Huegel
authors.forename: Alejandro
authors.initials: A
authors.lastname: Garcia-Gonzalez
mesh_terms: D004569:Electroencephalography / Q000379:methods*; D004576:Electromyography / Q000379:methods*; D006801:Humans; D009038:Motion; D012984:Software; D013647:Task Performance and Analysis; D013997:Time Factors; D014584:User-Computer Interface