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Around the world, many people live with total paralysis, which makes it difficult to communicate using speech, text or gestures. Moreover, people with severe disabilities cannot use communication devices including computers, tablets, or mobile phones given their inability to operate conventional input devices such as keyboard, mouse, and interfaces based on speech or gesture recognition. To help paralyzed people to use electronic devices, we propose a human–computer interaction system based on the recognition of breathing patterns acquired through impulse radio ultra-wideband (IR-UWB) sensors. In particular, commands are created through different signal patterns generated by the user’s inhalation and exhalation. The signal emitted from the radio sensor is directed to the user's abdomen or chest, and the reflected signal can be analyzed to recognize the breathing patterns. We analyzed features such as …