Iteration 3: Close Phase

The final outcome of our project was a refined, fully functioning prototype. We produced a brace that detects limping and in turn notifies the wearer when it is detected. This information is then transferred to Google Sheets where it is visualized into a graph and color coordinated for Physical Therapists to monitor. Secondarily, the same …

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Iteration 3: Adapt

Dr. Judd and Brian Kelly Feedback Area: Physical Therapy Google Sheet + SD Card SuggestionsStakeholder: SponsorApproach: Group discussionMethod: Showed progress on developing a way to transfer data into Google Sheets with charts and by SD Card. Results/Suggestions:Like Google Sheet output with graphicProgram cells where the values are coming in to compare against threshold value and light up red when …

Iteration 3: Explore

Produce System Overview Diagram Connect Brace via IFTT to Google Sheets To connect our Brace via IFTT to Google Sheets, we took our example script from our previous iteration and combined it with our walking function. Below, you can see a google sheet that contains the walking data from the brace organized nicely into a …

Iteration 3: Speculate

Plan for Iteration 3. Minimum Viable Product (MVP): When Gaitkeeper can accurately sense a normal walking gait and provide recognizable feedback when the gait is improper. This will include an accelerometer whose reading will be processed in a program to determine walking gait and in turn vibrate the user to notify them that the gait is …

Iteration 2: Adapt

Mark Gross and Wearables Class Feedback Area: Wifi Connection, IoT Cloud + Dashboard SuggestionsStakeholder: Technical ExpertsApproach: Group discussionMethod: Described project to group, group gave feedback in form of discussion (open floor for comments after describing project overview and desired data from sensors)Results/Suggestions:Try small wifi routersTie Arduino to cell phone dataUse UDP Sockets No need for real …

Iteration 1: Adapt

Mark Gross and Wearables Class Feedback Area: Technical Sensor Specifications (sensor use, other sensors that could be helpful)Stakeholder: Technical ExpertsApproach: Group discussionMethod: Described project to group, group gave feedback in form of discussion (open floor for comments after describing project overview and desired data from sensors)Results/Suggestions:Do a walking test initially to get readings about walking …

Iteration 2: Explore

Test Sparkfun Pedometer Script with Nano 33 ioT To start this iteration, we tested a script we found from Sparkfun that measures the steps someone takes with the accelerometer in the Nano 33 ioT. We figured this could be a great resource for us to measure walking. After uploading the code to our Arduino, we …

Iteration 2: Speculate

Plan for Iteration 2. Minimum Viable Product (MVP): When Gaitkeeper can accurately sense a normal walking gait and provide recognizable feedback when the gait is improper. This will include an accelerometer whose reading will be processed in a program to determine walking gait and in turn vibrate the user to notify them that the gait is …

Iteration 1: Explore Phase

MALLORY For this phase, I worked on learning how to use the Arduino Nano BLE and how to use BLE to send data to a computer for our buzzer mechanism. Accelerometer Reading Test To start, I looked at the Arduino Nano 33 IoT documentation for accelerometer reading. The circuit for this example was very simple. …

Iteration 1: Speculate

Plan for Iteration 1. Total Feature List (prioritzed): FeaturePriorityTime Detect walking with accelerometerHigh55 hoursResearch walking gait and angles associated at various stepsHigh20 hoursUse potentiometer and bend sensor to test ROMMedium20 hoursUse switch on brace hinge to detect full extensionLow10 hoursLearn how to use Arduino Nano BLE functionHigh16 hoursUse BLE/wifi to send data to computer for …