The seventh and penultimate white paper blog post is focused on sensor fusion, which is using various and independent sensors for decoding the user’ wrist movement and finger intent.
Sensors can be classified as external or internal. External sensors measure non-electrical quantities such as force, movement, pressure. Internal sensors measure electrical signals such as resistance, capacity, ionization, and magnetism.
Because all sensor types have limitations, sensor fusion improves the probability that there will always be a sensor that performs well in any given situation. Each sensor must work independently without any interaction between them. Thus, correct decisions always will be made, regardless of user physiology or scenario conditions that are challenging for a certain sensor type.
Full webinar video (discussion begins at 36m55s):