Chemistry of Motion

 

At Movea, we’ve identified the fundamental elements of human motion. These SmartMotion™ “atoms”, backed by Movea’s portfolio of more than 350 patents, enable us to reduce the complexity of human movement into elements that are easy to understand: the flick of a wrist, your personal in-air signature, pedestrian navigation on your cell phone, the angles and tempo of your golf swing, the speed of your racquet, the trajectory of a jogger’s foot, or the type and frequency of your swimming strokes.


Through our Chemistry of Motion™, we rapidly prototype new features for our customers by combining SmartMotion atoms into molecules of richer, more complex features for applications like: a 3D interactive remote control, a stroke-aware lap counter for swimmers, pedestrian navigation on your mobile phone, or a biofeedback-enabled gait trainer for physical therapy.


Movea’s Chemistry of Motion delivers our customers and partners:

 

  • Faster time to market, often prototyping new features in days
  • Access to best of class IP through our extensive patent portfolio
  • A strong, market leader roadmap through our continuous investment in R&D

 

Our Table of SmartMotionElements below categorizes atomic motion features into columns according to the types of motion that are being analyzed: angles, gestures, trajectories, intensity, and more. Each atomic feature is characterized by: the required sensor combination, the sensor’s position on the body, and the computational complexity feature.

 

 

 

 

 

The diagram below represents the same SmartMotion atoms organized into an “IP Heat Map”, where the intensity of an atom’s color represents the number of patents behind that atom. Along the horizontal axis, features get more specific from left to right while, on the vertical axis, features use greater amounts of data fusion going from top to bottom.


The more general features on the left of the chart tend to be very “reactive,” wanting to be combined into higher level features. Whereas features towards the bottom of the chart fuse an increasing amount of data from different sources: more complex sensor combinations and external data sources such as maps or biomechanical data.