group

Authors' Class Standing

Jeremy Brown, Senior; Logan Gugliuzza, Senior; Kunj Patel, Senior; Hunter Wade, Senior; Andres Martinez, Senior;

Lead Presenter's Name

Jeremy Brown

Faculty Mentor Name

Dr. Eduardo Divo

Abstract

The use of electromyography devices to collect neuromuscular-activated user input into control commands is an emerging market. With the number of internet-connected devices approaching an estimated fifty billion by the year 2020, the need to develop a more natural human-machine interface arises. This paper discusses the development of a gesture-based control system with the integration of a heart rate sensing safety module as a means of controlling a small unmanned aircraft system (sUAS) while monitoring the ability of an operator to safely control the device. Heart rate data from five subjects, three male, two female, age range of 20 – 30 and of various body-mass-index, was collected and analyzed to determine a safe range in beats-per-minute for the operator to be considered unimpaired. The system was found to be successful in executing gesture-based commands to control a sUAS while the heart rate safety module remains a proof-of-concept showing its ability to transmit operator data while allowing the system to process the data and react accordingly.

Did this research project receive funding support (Spark or Ignite Grants) from the Office of Undergraduate Research?

Yes, Ignite Grant

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Neuromuscular Control System for Small-Unmanned Aircraft Systems

The use of electromyography devices to collect neuromuscular-activated user input into control commands is an emerging market. With the number of internet-connected devices approaching an estimated fifty billion by the year 2020, the need to develop a more natural human-machine interface arises. This paper discusses the development of a gesture-based control system with the integration of a heart rate sensing safety module as a means of controlling a small unmanned aircraft system (sUAS) while monitoring the ability of an operator to safely control the device. Heart rate data from five subjects, three male, two female, age range of 20 – 30 and of various body-mass-index, was collected and analyzed to determine a safe range in beats-per-minute for the operator to be considered unimpaired. The system was found to be successful in executing gesture-based commands to control a sUAS while the heart rate safety module remains a proof-of-concept showing its ability to transmit operator data while allowing the system to process the data and react accordingly.

 

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