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Dual Air pilot project - On the feasibility of automatic detection of right and wrong use of the Dual Air hairdryer

Dual Air pilot project - On the feasibility of automatic detection of right and wrong use of the Dual Air hairdryer

The project will contribute to development of automatic learning systems for use of an ergonomically improved hair dryer. Sensors and artificial intelligence are used to detect correct use of the dryer, providing basis for feedback to the user. The pilotproject is a feasibility study for such solutions.

Photo: SINTEF

The pilot project is to explore opportunities to provide feedback on the use of Dual Air using sensors.

Sub-goals:

  • Testing and collection of test data with simple sensor platforms to identify and specify technical requirements for sensors and location (reasonability assessment).
  • Exploratory data analysis to assess the sensor platforms' ability to describe usage patterns and working postures, including developing simple pattern recognition algorithms (feasibility study).

This is to be done in field setting in hair saloons.

Read the project report here.

Published 19 November 2021
Research Scientist
451 34 592

Project start

31/05/2021