This paper provides a comprehensive survey of current state of the bio-sensing technologies focusing on hand motion capturing and its application to interfacing hand prostheses. These sensing techniques include electromyography (EMG), sonomyography (SMG), mechnomyography (MMG), electroneurography (ENG), electroencephalograhy (EEG), electrocorticography (ECoG), intracortical neural interfaces, near infrared spectroscopy (NIRS), magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI), etc. Relevant approaches that interpret bio-signals in the view of prosthetic hand manipulation are involved in as well. Multi-modal sensory fusion provides a new strategy in this area, and the latest multi-modal sensing techniques are surveyed. The paper also outlines the new challenges and directions: exploration of robust sensing technology, multi-modal sensory fusion, on-line signal processing and learning algorithms and bio-feedbacks.

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