Smart Wheelchairs and Brain-computer Interfaces: Mobile Assistive TechnologiesPablo Diez Academic Press, 29 mei 2018 - 492 pagina's Smart Wheelchairs and Brain-Computer Interfaces: Mobile Assistive Technologies combines the fields of neuroscience, rehabilitation and robotics via contributions from experts in their field to help readers develop new mobile assistive technologies. It provides information on robotics, control algorithm design for mobile robotics systems, ultrasonic and laser sensors for measurement and trajectory planning, and is ideal for researchers in BCI. A full view of this new field is presented, giving readers the current research in the field of smart wheelchairs, potential control mechanisms and human interfaces that covers mobility, particularly powered mobility, smart wheelchairs, particularly sensors, control mechanisms, and human interfaces.
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Inhoudsopgave
| 1 | |
| 23 | |
| 33 | |
Chapter 4 Biopotential acquisition for brainwheelchair interfaces | 65 |
Chapter 5 EEG signal processing in braincomputer interface | 95 |
Chapter 6 Highspeed steadystate visual evoked potentialbased braincomputer interfaces | 111 |
Chapter 7 P300based braincomputer interfaces | 131 |
Chapter 8 Motor imagery based braincomputer interfaces | 171 |
Chapter 12 Smartwheelchairs | 291 |
Chapter 13 Braincomputer interfaces for controlling wheelchairs | 323 |
Chapter 14 Control strategies of a braincontrolled wheelchair using two mental tasks | 345 |
Chapter 15 Towards a system to command a robotic wheelchair based on independent SSVEPBCI | 369 |
Chapter 16 EOGbased wheelchair control | 381 |
Chapter 17 Voicedirected autonomous navigation of a smartwheelchair | 405 |
enhancing functional electrical stimulation | 425 |
| 453 | |
Chapter 9 Electrocorticogram based braincomputer interfaces | 197 |
a review of existing solutions their advantages and open | 229 |
history characteristics and technical specifications | 257 |
Back cover | 461 |
Overige edities - Alles bekijken
Smart Wheelchairs and Brain-computer Interfaces: Mobile Assistive Technologies Pablo Diez Geen voorbeeld beschikbaar - 2018 |
Veelvoorkomende woorden en zinsdelen
activity algorithm amplitude analysis applications areas assistance BCI systems Biomed biopotential brain brain–computer interface classification Clin cognitive commands components computer interface cortex cortical detection device ECoG EEG signal EEG-based electrodes Engineering environment evaluation event-related event-related potentials example feature extraction feedback filter fMRI fNIRS frequency functional electrical stimulation Guger hBCI hybrid IEEE Trans implemented input interaction interface BCI joystick Leeb mapping matrix measure mental tasks methods Millán mobile motor imagery movement Müller Müller-Putz muscle navigation Neural Eng Neural Syst Neuroimage neurons Neurophysiol neuroprosthesis Neurosci noninvasive paradigm parameters patients performance Pfurtscheller powered wheelchairs presented real-time Rehabil robotic Ron-Angevin Scherer selection sensors signal processing smart-wheelchair spatial speller spinal cord SSVEP SSVEP-based BCIs steady-state visual evoked subjects synchronization target techniques tion user’s visual evoked potentials Wang wheel wheelchair wheelchair control Wolpaw Zhang