With the rise in aging population, about 6.8 million American residents are depen- dent on mobility devices for their day to day activity. More than 40% of these users have diculty in moving the mobility device on their own. These numbers serve as a motivation on developing a system than can help in manipulation with simple muscle activity and localize the mobility device in the user's home in case of medical emergencies. This research is aimed at creating a user interface of Elec- tromyographic Sensor, attached to the forearm, incorporated with present smart wheelchairs and a simple localization technique using ducial markers. The main outcome of the research is a simulator of the smart wheelchair to analyze the results of my research.

Creator

• Patel, Jayam Umesh

Contributors

• Gennert, Michael A.
• Padir, Taskin
• Michalson, William R.

Degree

• MS

Unit

• Robotics Engineering

Publisher

• Worcester Polytechnic Institute

Language

• English

Identifier

• etd-042816-031040

Keyword

• April Tags
• EMG
• Wheelchair
• Simulator
• Navigation
• Localization

Advisor

• Padir, Taskin

Committee

• Michalson, William R.
• Gennert, Michael A.

Defense date

• 2016-04-26

Year

• 2016

Date created

• 2016-04-28

Resource type

• Thesis

Rights statement

• In Copyright

Last modified

• 2023-09-28