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"Non-invasive Human-machine Interface (HMI) Systems with Hybrid On-body" by Hao Zhou and Gursel Alici

In this work, we present a systematic review on non-invasive HMIs employing hybrid wearable sensor modalities for recognition of upper limb intentions. Different combinations of the sensors are investigated. As sEMG is dominant in the applications of externally powered prosthetic hands, it is involved in most hybrid sensor combinations. The combined use of sEMG and IMU is most studied in the literature as IMU is easy to be integrated. Though limited, the investigation on other hybrid modalities ...
Adaptive Learning Human Machine Interface Hybrid Modalities Multi Modal Obot Sensing Systems Emg Fmg
Source: uow.edu.au

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