Measure Hip Range of Motion in Your Health App with QuickPose iOS SDK
Looking to integrate hip range of motion tracking into your health app? The QuickPose iOS SDK allows your app to function as a powerful digital goniometer, accurately capturing the range of motion (ROM) for the hip. This feature is essential for assessing hip mobility, flexibility, and overall musculoskeletal health. In this guide, we’ll walk you through implementing this feature in your app, ensuring precise readings, real-time user feedback, and an enhanced user experience. Whether you’re adding a new feature or improving an existing one, this integration will help set your health app apart by offering cutting-edge functionality.
Steps to Measure Range of Motion of the Hip in Your App:
Register an SDK Key with QuickPose
Get your free SDK key on https://dev.quickpose.ai, usage limits may apply. SDK Keys are linked to your bundle ID, please check Key before distributing to the App Store.
This is a quick look to integrate Hip Range of Motion Measurement using the QuickPose iOS SDK. You can see the full documentation here: QuickPose iOS SDK Hip ROM installation.
Activate Hip Range of Motion Feature
feature = .rangeOfMotion(.hip(side: .left, clockwiseDirection: false))
feature = .rangeOfMotion(.hip(side: .left, clockwiseDirection: true))
feature = .rangeOfMotion(.hip(side: .right, clockwiseDirection: false))
feature = .rangeOfMotion(.hip(side: .right, clockwiseDirection: true))
feature = .rangeOfMotion(.hip(side: .left, clockwiseDirection: false), style: customOrConditionalStyle)
Side & Clockwise
This feature requires a side parameter, enter the user’s side, not the side from the camera’s perspective. This enables easier prompts to the user, and multiple camera support. After correctly determining which side to request, the direction must also be specified. Is it clockwise or anti-clockwise? Typically the direction of measurement can shift depending on the side, so these two parameters are interconnected.
For example, to render User’s Left side and in the clockwise direction, use:
feature = .rangeOfMotion(.hip(side: .left, clockwiseDirection: true))
Conditional Styling
To give user feedback consider using conditional styling so that when the user’s measurement goes above a threshold, here 0.8, a green highlight is shown.
let greenHighlightStyle = QuickPose.Style(conditionalColors: [QuickPose.Style.ConditionalColor(min: 0.8, max: nil, color: UIColor.green)])
quickPose.start(features: [.rangeOfMotion(.hip(side: .left, clockwiseDirection: false), style: customOrConditionalStyle)],
onFrame: { status, image, features, feedback, landmarks in ...
})
Improving the Captured Results
The basic implementation above would likely capture an incorrect value, as in the real world users need time to understand what they are doing, change their mind, or QuickPose can simply get an incorrect value due to poor lighting or the user’s stance. These issues are partially mitigated by on-screen feedback, but it’s best to use an QuickPoseDoubleUnchangedDetector to keep reading the values until the user has settled on a final answer.
To steady the .rangeOfMotion(.hip(side: .left, clockwiseDirection: false)) results declare a configurable Unchanged detector, which can be used to turn lots of our input features to read more reliably.
@State private var unchanged = QuickPoseDoubleUnchangedDetector(similarDuration: 2)
This will on trigger the callback block when the result has stayed the same for 2 seconds, the above has the default leniency, but this can be modified in the constructor.
@State private var unchanged = QuickPoseDoubleUnchangedDetector(similarDuration: 2, leniency: Double = 0.2) // changed to 20% leniency
The unchanged detector is added to your onFrame callback, and is updated every time a result is found, triggering its onChange callback only when the result has not changed for the specified duration.
quickPose.start(features: [.rangeOfMotion(.hip(side: .left, clockwiseDirection: false))], onFrame: { status, image, features, feedback, landmarks in
switch status {
case .success:
overlayImage = image
if let result = features.values.first {
feedbackText = result.stringValue
unchanged.count(result: result.value) {
print("Final Result \(result.value)")
// your code to save result
}
} else {
feedbackText = nil // blank if no hand detected
}
case .noPersonFound:
feedbackText = "Stand in view";
case .sdkValidationError:
feedbackText = "Be back soon";
}
})
Improving Guidance
Despite the improvements above, the user doesn’t have clear instructions to know what to do, this can be fixed by adding user guidance.
Our recommended pattern is to use an enum to capture all the states in your application.
enum ViewState: Equatable {
case intro
case measuring(score: Double)
case completed(score: Double)
case error(_ prompt: String)
var prompt: String? {
switch self {
case .intro:
return "Raise your left leg to the side\nas high as you can"
case .measuring(let score):
return nil
case .completed(let score):
return "Thank you\nReading: \(String(format:"%.0f°",score))"
case .error(let prompt):
return prompt
}
}
var features: [QuickPose.Feature]{
switch self {
case .intro, .measuring:
return [.rangeOfMotion(.hip(side: .left, clockwiseDirection: false))]
case .completed, .error:
return []
}
}
}
Alongside the states we also provide a prompt text, which instructs the user at each step, and similarly the features property instructs which features to pass to QuickPose, note for the completed state QuickPose doesn’t process any features.
Declare this so your SwiftUI views can access it, starting in the .intro state, our exmaple is simplifited to just demonstrate the pattern, as you would typically start with more positioning guidance.
@State private var state: ViewState = .intro
Next make some modifications, so that your feedbackText is pulled from the state prompt by default.
.overlay(alignment: .center) {
if let feedbackText = state.prompt {
Text(feedbackText)
.font(.system(size: 26, weight: .semibold)).foregroundColor(.white).multilineTextAlignment(.center)
.padding(16)
.background(RoundedRectangle(cornerRadius: 8).foregroundColor(Color("AccentColor").opacity(0.8)))
.padding(.bottom, 40)
}
}
This now means you can remove the feedbackText declaration:
//@State private var feedbackText: String? = nil // remove the feedbackText
There’s two changes we need to make, first we need to update QuickPose with the features for each state:
.onChange(of: state) { _ in
quickPose.update(features: state.features)
}
Then we should start QuickPose from the state’s features as well.
.onAppear {
quickPose.start(features: state.features, onFrame: { status, image, features, feedback, landmarks in
...
And in the onFrame callback update the state instead of the feedbackText. This allows the UI input to change the view state in a controlled manner, so that for example the .intro state can only be accessed if the user’s hand is missing from the .measuring state, or from the .error state.
quickPose.start(features: state.features, onFrame: { status, image, features, feedback, landmarks in
switch status {
case .success:
overlayImage = image
if let result = features.values.first {
state = .measuring(score: result.value)
unchanged.count(result: result.value) {
state = .completed(score: result.value)
// your code to save result
}
} else if case .measuring = state {
state = .intro
} else if case .error = state {
state = .intro
}
case .noPersonFound:
state = .error("Stand in view")
case .sdkValidationError:
state = .error("Be back soon")
}
})
By following this guide, you can effectively capture and measure the range of motion in the hip, offering a seamless and informative experience for users looking to monitor their flexibility and joint health.
