Non-invasive control interfaces for intention detection in active movement-assistive devices.

Active movement-assistive devices aim to increase the quality of life for patients with neuromusculoskeletal disorders. This technology requires interaction between the user and the device through a control interface that detects the user's movement intention. Researchers have explored a wide variety of invasive and non-invasive methods to derive the user's movement. With the goal of illustrating the wide spectrum of strategies, this paper presents a comprehensive review of non-invasive control interfaces used to operate active movementassistive devices. A novel systematic classification method is proposed to categorize the control interfaces based on: (I) the source of the physiological signal, (II) the physiological phenomena responsible for generating the signal, and (III) the sensors used to measure the physiological signal. The proposed classification method can successfully categorize all the existing control interfaces providing a comprehensive overview of the state of the art. Each sensing modality is briefly described in the body of the paper following the same structure used in the classification method. Furthermore, we have discussed several design considerations, challenges, and future directions of non-invasive control interfaces for active movement-assistive devices. [ABSTRACT FROM AUTHOR]