Loader for website

We are Evomo

Welcome to the next level of movement detection

with our Movement Classification Engine for mobile apps

More about

The Future of Fitness


The Evomo Movement Classification is the next level technology to measure, track and analyse human movement using smartphones and wearables.

Our SDK enables developers the simple integration of the next generation movement recognition in their Apps.
 The SDK handles the entire process from data acquisition to classification and data output.
 So, developers can focus fully on the most important thing - to make the user happy with their Apps.

Comparison of movement detection technologies

State of the art
  • Activitiy recognition
  • Counting steps and calories
  • Tracking endurance sports
  • Repetition counting - predefined
Evomo Movement Classification
  • Movement classification
  • Detection of sport movements
  • Analysing movement sequences
  • Repetition counting - freestyle

Technology demonstration

Experience our technology first hand. The App recognises the following five movements: Squat, Jumping Jack, Pushup, Pullup and Situp. Just start the App, put your iPhone in a belly bag and strap it onto your body!

SDK


Use the Evomo movement classification engine and make your App ready for the futuret!

With the Evomo Software Development Kit (SDK)

Evomo SDK
dummy
Mobile App
  • Detect movements and count the repetitions in real time
  • Document automatically the whole training progress
  • Measure and analyze movements
  • SDK availible for iOS, Android coming soon

Extend your app to create more:

Comfort

Enabled by the automatic training documentation

Insights

Through precise movement and performance data

Motivation

By context-aware feedback in real time

Convince yourself

Our technology demonstrator Workout Notebook is available for free in the Apple App Store.

Our Promises


Individual

Our solutions are individually customized for your needs.

Precission

We guarantee a recognition accuracy of more than 95% using our engine.

Performance

We provide a fast and cost-efficient implementation of your custom motion detection with our well-engineered and sophisticated technology platform.

Modularity

You decide which type of sensors to use for motion detection. With our modular SDK, the integration of additional sensors is easily done.

Technologie


The Evomo Movement Classification Engine wrapped in a SDK:

Data acquisition

The foundation of our classification engine is composed of the acceleration data of a sensor attached to the body.

Signal analysis

The measured data is preprocessed to be efficiently used by our classification engine.

Classification

Our especially-developed machine learning algorithm based on deep learning and neural networks detects the movement in real time.

Sensor fusion

Our sensor data fusion algorithm combines the classification results of several sensors and improves the recognition accuracy.

Data output

As a result, you get the detected movement type, the number of executed repetitions as well as detailed movement analysis for further evaluation.

Convince yourself of the power of our SDK. Our technology demonstrator Workout Notebook is available for free in the Apple App Store.

Usecase


The framework is built universally and can be applied wherever a human is moving.

Fitness

The Evomo Movement Classification Engine can be easily integrated into fitness apps with our SDK, allowing users to:

  • Count the performed movements automatically
  • Interactively guide the athlete through real time feedback
  • Analyse the movement executions
  • Detect incorrectly executed exercises

Rehablitation

In rehabilitation and health care, our technology opens up entirely new options to support the patient through his therapy with the following use cases:

  • Automatic documentation of the therapy / training course
  • Automatic training documentation without manual entries
  • Motivation of the users to comply with training plans
  • Chance for the therapist to validate the training of his client

Rehablitation

In rehabilitation and health care, our technology opens up entirely new options to support the patient through his therapy with the following use cases:

  • Automatic documentation of the therapy / training course
  • Automatic training documentation without manual entries
  • Motivation of the users to comply with training plans
  • Chance for the therapist to validate the training of his client

Our Team


Our team is characterized by innovation strength, practical experience, creativity, technological knowhow that is necessary for the development of your individual solution.
Our agile way of working and the perfect coordination of our individual professional and social strengths are the basis of our success.

Portrait of Founder and CEO Jakob Wowy

Jakob Wowy

CEO

Portrait of Co-Founder David Moeller

David Moeller

Research and Development

Portrait of Co-Founder Patrick Wappler

Patrick Wappler

Productmanagement

Vision


Every athlete should have the opportunity to carry a personal digital fitness coach with him. It helps to stay healthy and to take the users fitness to a whole new level.

Based on its human role model, the digital coach supports the athlete with:

  • Guidance
  • Motivation
  • Correction
  • Supervision und Advise
  • Natural Communication

To reach this vision it is essential to develop the technology in the following steps:

Movement Classification

The movement classification is already implemented as a base technology that allows counting and documenting the performed movements as well as the supervising through the workout.

Training Analysis

We provide the users meaningful indicators for their training progress and thus enable them identifying weak points and to optimize their training.

Movement Analysis

The Movement Analysis makes it possible to determine the execution quality of the movement in order to empower and correct the users in their workout, thus minimizing the risk of injury from incorrectly performed exercises.

Training Optimization

Build upon the collected workout history of the user the optimization process will adjust the workout plan according to the individual needs. This prevents overtraining and will help to wipe out weaknesses.

Voice Control

DBuilding a complete virtual coach means to enhance him with the ability of communication. The user can give his feedback via voice and doesn't need to interact with the smartphone by hand.

Career


Employment Job description Beginning
Praktikum Software-Development (Backend - Django and Python) asap
Praktikum Business-Development asap
Praktikum Marketing/HR asap
Praktikum Data-Science/Machine-Learning asap

Partner


The project Evomo is supported through by the EXIST-Program by of the Federal Ministry of Economic Affairs and Energy as well as the European Social Fund.

In addition we are part of the ten-month long accelerator program DeltaHochDrei. It is providing extensive workshops and close collaboration to ensure that our team is advancing itself and its software based business model.

The support of the Dresden EXIST Team as well as of the Technical University of Dresden is completing the overall look.

Contact


If you have any questions, feel free to contact us.

Beilstraße 23
01277 Dresden

info@evomo.de

+49 351 25 02 77 58

Send us a message