Digitalization of the physical world is evident and happening faster than expected. Basis for the motion sensing solutions already exists in the form of connected networks, hardware and sensors. This paradigm is known as the Internet of Things (IoT). Yet many recent research reports shows, that most of the gathered IoT based data is not used at all or it is used for detecting anomalies or controlling purposes. So, we have the platform in place to get the useful data for the benefit of the businesses and consumers, but we are not using it?
We believe the answer lies in more robust and cost effective data analytics to support data-driven decision making. Adding meanings to the data is the key for the digilization.
Our technical background relates to motion primitives, an algorithm development at the University of Helsinki, Finland, that can estimate gravity more accurately than before giving competitive advantage in providing more accurate acceleration information. Based on the patented technology, we commercialize the use of motion sensor based data on three main segments:
- Vehicles - connected cars, user based insurance, ride sharing services
- Human - fitness & health applications
- Cities - public transport, Mobility as a Service (MaaS) based services
Our vision is to provide an efficient and low energy consumption solution for:
- Fast cleaning of motion sensor raw data
- Detection of the transportation mode
- Meaning of the data
The most used motion sensor device including accelerometer and gyroscope is a smartphone. Billions of users every day carry their mobile phone and use multiple applications for commuting, social media, ride sharing and personal fitness. All these applications will benefit greatly from our technology by
- Consuming less power
- Having more accurate data to be used by the application
- Detecting the mode of current movement. For instance walking is different input to most of the applications than sitting in a subway.
Welcome to the world of motion sensing!