People with high-level cervical spinal cord injury can have significant impairments in their ability to control their environment, including challenges operating a smartphone or navigating a power wheelchair. Smartphones are often controlled using a mouth stick and mobility is controlled using either a head array or sip-and-puff control system. A wearable system that allows continuous, multi-dimensional control of both smartphones and mobility based on the intuitive movement of cervically-innervated muscles with intact volitional activation could provide an improvement in quality of life for this population. Here I present a number of steps towards this including 1) a Bluetooth connected 8-channel, wearable electromyography sensor, 2) a neural network running on a smartphone that allows continuous two-dimensional control, and 3) rapid training of the neural network by calibrating to self-selected movements. This system was validated on two participants with a cervical spinal cord injury.