Project Partner

Elliptic Laboratories ASA

Elliptic Labs will focus on two innovations:

  1. human wellness monitoring with focus on fall detection and
  2. enabling a mesh network to expand this wellness monitoring to larger physical areas across smart home devices. Elliptic Labs will utilize AI, ultrasound, and sensor fusion to achieve these goals while guaranteeing privacy and data protection.

Elliptic Labs is a global enterprise targeting the smartphone, laptop, IoT, and automotive markets. Founded in 2006 as a research spin-off from Norway’s Oslo University, the company’s patented software uses AI, ultrasound and sensor fusion to deliver intuitive 3D gesture, proximity-, presence-, breathing- and heartbeat-detection experiences. Its scalable AI Virtual Smart Sensor Platform™ creates software-only sensors that are sustainable, human-friendly and already deployed in hundreds of millions of devices around the world. Elliptic Labs is the only software company that has delivered detection capabilities using AI software, ultrasound, and sensor fusion deployed at scale. The company joined the Oslo Børs main listing in March 2022.

Elliptic Labs is headquartered in Norway with presence in the USA, China, South Korea, Taiwan, and Japan. Its technology and IP are developed in Norway and are solely owned by the company.

Role in the project

Elliptic is responsible for the use-case “Sensor mesh for activity detection and classification” where the focus is on fall detection for the project demonstrator.

Key contribution to the project

Elliptic will use its AI Virtual Smart Sensor platform to realize the AI Virtual Activity Sensor targeted for the activity detection and classification of the use-case demonstrator based on one or more ultrasonic transducers, advanced signal processing, machine learning and embedded software platform. The use-case will also evaluate performance of a mesh of sensor cooperating to improve the overall activity detection and classification.


Elliptic Laboratories ASA
Akersgata 32
0180 Oslo
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