VitoKit
😀
Welcome to VitoKit...
A framework that enhances HealthKit and the Fitbit API for iOS
✅
Features
- Wonderfully crafted animations
- Speedy setup and computations
- More efficient and powerful way to build health apps
🚀
Getting Started
let package = Package(
dependencies: [
.package(url: "[email protected]:Vito-Research/VitoKit.git")
]
)
import VitoKit
Request Permission
Depending on which category of health data you would like to query, within toggle data, add your requested category...
Vitals - heart rate, respiration rate, heart rate variability
Activity - steps, stand hours, workouts
Mobility - double support time, walking asymmetry, step length
DataTypesListView(toggleData: [.Vitals], title: "Health Data", caption: "Why we need this data...")
Data Querying
VitoKit has various ways to query and process health data...
State Machine
A level based algorithm that detects outliers
for type in HKQuantityTypeIdentifier.Activity {
vito.outliers(for: type, unit: type.unit, with: Date().addingTimeInterval(.month * 4), to: Date(), filterToActivity: .active)
}
Machine Learning
Random Forest Classifier
do {
let ml = ML()
let correlation = try ml.classifier(vito.healthData)
} catch {
}
Deep Learning
TBD
19 Dec 20, 2022
112 Dec 19, 2022
9 Aug 23, 2022
1 Jun 30, 2020
9 Dec 21, 2022
5 Oct 29, 2022
2 Jun 20, 2022
10 Dec 24, 2022
16 Jul 29, 2022
7 Dec 31, 2022
8 Nov 25, 2022
1 Feb 17, 2022
1 Sep 4, 2022
0 Jan 21, 2022
344 Jan 4, 2023
215 Nov 9, 2022
192 Dec 23, 2022
1 Jan 3, 2022
59 Jan 8, 2023