High-Sensitivity Wearables for Camera-Free Recognition of Human Hand Signals in Hybrid Societies
Especially in hybrid societies, where people interact with embodied digital technologies, novel sensors and technologies are necessary as wearable systems for human-human or human-machine interactions. Novel designed truly integrable sensors based on polymer carbon nanotubes composites (PCN) have been enhancing the performance of gesture recognition systems in comparison to classical force myography sensors. Other methods, such as bio-impedance spectroscopy, surface electrical impedance myography (sEIM) and electrical impedance tomography (EIT), Electromyography (EMG) and inertial measurement units (IMU) are increasingly investigated. The combination of several sensors and techniques in multi modal systems is supporting a higher accuracy and reliability for a continuous monitoring of human hand gestures and hand signs even in public spaces where there are no cameras available. Novel technologies for wearable embodied sensors can build body attached sensors networks for complex scenarios fulfilling the requirements of compactness, accuracy and reliability.