Normally, while someone touches her own hair, unconsciously she is bringing comfort to herself and at the same time is emitting a non-verbal message decodable by an observer. However, when she touches on Hairware, she is not just making this unconscious behaviour because she will be triggering an object. Thus, we add new functionalities to hair extensions, turning them into a seamless device that recognizes auto-contact behaviors concealed to outside observers. Therefore, Hairware brings the opportunity to make conscious use of an unconscious auto-contact behavior.
Hairware acts as a capacitive touch sensor that detects touch variations on hair and uses machine learning algorithms in order to recognize user’s intention. Artificial hair extensions were chemically metalized for acquiring electrical conductivity and also keeping a natural coloration. We added layers of non- conductive hair extensions that are added for isolating the hair from the skin. Also, these layers improved the capacitor sensor values. Each time the user touch the top, middle or tip, the capacitor sensor differentiates these values. The circuit compares an output that transmits the pulse and an input, which receives the pulse. When a finger touches Hairware, it creates a delay in the pulse, and this delay is recalculated by the microcontroller.