Project ARM

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Team Name Project ARM
Duration Fall 2017 - Spring 2017
Faculty Adviser Dr. Perry
  • Dr. Perry
Team Members
  • Matthew Holman
  • Colton Hotchkiss
  • Jacob Middleton
  • Ruth Park
  • Quinton Reese
  • Alexanderia Rockwell

Problem Definition[edit]

Individuals recovering from post-stroke arm impairments spend significantly more time conducting therapeutic exercise at home without therapist supervision than they spend doing supervised therapy in a clinical setting. It is difficult to quantify the amount and quality of arm usage that takes place between supervised therapy sessions, which would be useful to know both as an indicator of functional recovery, and also as a way to monitor activity level and its impact on motor recovery.

General Goal[edit]

The goal of the project is to develop an android application that will monitor and track mobility parameters of arm movements, including range of motion and repetitions of prescribed movements. Update the wearable interface to protect components and allow the users to easily use the wearable interface.

Project Specific Goals and Target Specifications[edit]

  • Goal 1: Develop the wearable hardware to secure sensors to user
    • (high priority) Secure attachment to the user (minimal risk for misalignment with long-term use during ADL tasks)
    • (high priority) Easy to put on and take off (preferably with one hand)
    • Comfortable fit to user
    • Low profile
    • (low priority) Protect and strain-relief cabling (wired/wireless?)
    • (low priority) Protect electronics from damage (collisions, moisture)
  • Goal 2: Measure arm movement signals from the shoulder and elbow.
    • (high priority) shoulder elevation, horizontal abduction/extension, and internal/external rotation (must take into account torso orientation)
    • elbow flexion/extension
  • Goal 3: Store and compute meaningful metrics for remote and periodic activity monitoring
    • (high priority) range of motion
    • high priority) repetitions of range of motion exercises
  • Goal 4: Count occurrences (repetitions) of pre-recorded movements in the data (in real-time or in post-processing)
    • (high priority) Record two movements, and compute a % difference or % similarity score between them
    • (high priority) Locate and count number of recorded movements from a data set with movements having a desired range of % difference (or similarity).
    • Integrate the movement recognition and repetition counting process in the wearable prototype
    • (low priority) extend to allow multiple (up to 4) different pre-recorded movements that will be identified and counted
  • Goal 5: Display activity information to a screen
    • (high priority) range of motion
    • (high priority) number of repetitions of a desired movement range
    • Movement smoothness
    • Repetitions of a desired movement trajectory
    • PC and mobile device compatible
    • (low priority) real-time activity information

Project Learning Examples[edit]

Arm Movement Illustration[edit]


The human arm has five different types of arm movements. Three for the shoulder: flexion/extension, abduction/adduction, and medial/lateral rotation. Two for the forearm: flexion/extension and supination/pronation.

Possible Algorithm Illustration[edit]


This algorithm was used for an EU funded project which utilized two sensors to track arm movements, one on the upper arm and one on the wrist. Data from the sensors is used to calculate the angle of shoulder flexion/extension, elbow flexion/extension, and the z position vector of the forearm which are then used to identify three different movements. The three movements are: reaching for and retrieving an object, lifting an object to the mouth, and rotating an object.

Design Work Examples[edit]

Hardware Case[edit]

Engineering drawing of Back Plate Case Lid Design 2; improved storage to better accommodate components
Engineering drawing of Back Plate Case Base Design 1

Phone App[edit]

The intent of the application design was to create a very simple user interface for a Physical Therapist and his/her Patient.

  • The Doctor will be able to assign tasks, track progress, and watch the patient improve in real-time. This will allow for a unique exercise plan for every patient, every day.
  • The Patient will, similarly, be able to see exact exercises along with the amount of repetitions recommended by the Doctor, track his/her progress, and comment on any pain points/successes/questions that he/she may have during these exercises.

Data Collection[edit]

  • Data will be used in the assessment of how well a patient performed an exercise.
    • It will be collected from three different sensors in hardware.
      • Shoulder Sensor
      • Wrist Sensor
      • Reference Sensor
    • Data collection shall occur in cycles, with each sensor broadcasting its data at a time relative to the other sensors.

  • ‘Number Lines’ will be used in the analysis of the collected data
    • Example: If there are thirty (30) data points cycles recorded by the hardware, and ten (10) points on the ‘Number Line,’ then each point on the ‘Number Line’ will contain the average of three (3) of those thirty (30) collected data points.
      • Example: (23.54 + 27.82 + 31.91) / 3 = 27.76
    • There shall be two different ‘Number Lines’ used for each axis of each sensor, meaning that a total of eighteen (18) ‘Number Lines’ will be used.
      • Baseline ‘Number Line’
        • This ‘Number Line’ will consist of pre-recorded values to which the values of the ‘collected values’ number line will be compared
      • Collected Value ‘Number Lines’
        • This ‘Number Line’ will consist of averaged data points that will be compared against those contained on the Baseline ‘Number Lines.’

Final Product Examples[edit]

Hardware Case[edit]


3D printed prototype of Assembly Design 1 (Lid Design 1, Base Design 1)

Casing concepts are created with the following parameters in mind:

  • Provides adequate protection for the electrical circuits
  • Provides stabilization for circuit boards to receive accurate data,
  • Can be applied to the brace design.

This case is able to be attached to the “posture” brace via the loops.

  • The adjustment straps go through the loops on the case, providing support and stabilization.

The holes on the corners eliminate the need to pre-drill holes for screw installation.

The inside of the case is able to house the three electrical boards along with a lithium battery.

Future corrections to this basic design could include:

  • The ability to stabilize the boards via “columns” that would contain pre-drilled holes to easily screw the boards to the case.

Phone App[edit]

These are screenshots of the current version of the app. Future updates will:

  • Implement data collection and evaluation from the hardware.
  • Implement password reset functionality to the Doctor portion of the app.
  • Add videos for Patients and Doctors to watch to review exercises.
  • Enable 'Help' and 'My Notes' features.

Team Members[edit]


Matthew Holman:

Major: Computer Science & Math
Hometown: Idaho Falls, ID
Graduation Date: December 2018
Hobbies: Washington-Idaho Symphony
Skills/Team Responsibilities: Wikimaster, programming
Future Goals: To work for an awesome company and make the world a better place

Colton Hotchkiss:

Major: Computer Science
Hometown: New Meadows, ID
Graduation Date: December 2017
Hobbies: Weight lifting and video games
Skills/Team Responsibilities: programming
Future Goals: Work in the cybersecurity field

Jacob Middleton:

Major: Mechanical Engineering
Hometown: Meridian, Idaho
Graduation Date: May 2018
Hobbies: Painting, Reading, Medieval Martial Arts, Brainstorming Ideas
Skills/Team Responsibilities: Chief communicator with project sponsor/mentor, solid modeling, design/fabrication (3D printing) of physical system case
Future Goals: I’m interested in entrepreneurship and robotics, and my dream job is either working on cutting edge robotics or being an Imagineer for Disney and working on their animatronics; possibly both at the same time if that’s how things play out. Whatever I wind up doing, I want to be on the cutting edge of technology and making a difference in the world.

Ruth Park:

Major: Computer Science
Hometown: Rathdrum, Idaho
Graduation Date: May 2018
Hobbies: knitting, writing, embroidery, reading
Skills/Team Responsibilities: programming, documentation
Future Goals: Work with AI

Quinton Reese:

Major: Mechanical Engineering
Hometown: Idaho Falls, ID
Graduation Date: May 2018
Hobbies: Fly-Fishing, Camping, Hunting
Skills/Team Responsibilities: 3D Modeling/Design, Machining/3D Printing, Budgeting
Future Goals: Work in Biomedical Engineering Field

Alexanderia Rockwell:

Major: Biological Engineering
Hometown: Grangeville, Idaho
Graduation Date: May 2018
Hobbies: Skiing, hiking/camping, going to the beach
Skills/Team Responsibilities: Organization and team management, inter-team communication, product and application design/fabrication.
Future Goals: Will be working for Stryker in August - Plan to work in Project Management in future.

Additional Documentation[edit]

Project Schedule - Semester 1[edit]


Project Schedule - Semester 2[edit]