The purpose of this thesis was to explore the potential of near-infrared spectroscopy (NIRS) as an access channel by establishing reliable signal detection to verify the existence of signal differences associated with changes in activity. This thesis focused on using NIRS to measure brain activity from the prefrontal cortex during an auditory Go-No-Go task. A singular spectrum analysis change-point detection algorithm was applied to identify transition points where the NIRS signal properties varied from previous data points in the signal, indicating a change in brain activity. With this algorithm, latency values for change-points detected ranged from 6.44 s to 9.34 s. The averaged positive predictive values over all runs were modest (from 49.41% to 67.73%), with the corresponding negative predictive values being generally higher (48.66% to 78.80%). However, positive and negative predictive values up to 97.22% and 95.14%, respectively, were achieved for individual runs. No hemispheric differences were found.

The purpose of this thesis was to explore the potential of near-infrared spectroscopy (NIRS) as an access channel by establishing reliable signal detection to verify the existence of signal differences associated with changes in activity. This thesis focused on using NIRS to measure brain activity from the prefrontal cortex during an auditory Go-No-Go task. A singular spectrum analysis change-point detection algorithm was applied to identify transition points where the NIRS signal properties varied from previous data points in the signal, indicating a change in brain activity. With this algorithm, latency values for change-points detected ranged from 6.44 s to 9.34 s. The averaged positive predictive values over all runs were modest (from 49.41% to 67.73%), with the corresponding negative predictive values being generally higher (48.66% to 78.80%). However, positive and negative predictive values up to 97.22% and 95.14%, respectively, were achieved for individual runs. No hemispheric differences were found.

Many individuals with severe motor impairments are cognitively capable, but because of their physical impairments, unable to express their intention through conventional means of communication. Access technologies are devices that attempt to translate the intention of these individuals into functional activity by harnessing their residual physical or physiological abilities. The primary objective of this thesis was to design and develop a novel non-invasive and non-contact access technology based on infrared thermal imaging. This access technology translates the local temperature change associated with voluntary mouth opening to activation of a binary switch such as a mouse click or key press. To this end, an algorithm based on motion and temperature analyses, and morphological and anthropometric filters was designed to detect mouth opening activity in thermal video in real-time. The secondary objective of this thesis was to introduce a mutual information measure for objective assessment of binary switch users’ performance. A model was suggested, in which combination of cognitive and physical abilities of the human user of a binary access switch constitute a communication channel. The proposed mutual information measure estimates the rate of information transmission in the ‘human communication channel’ during stimulus response tasks. Using this measure, in a study with ten able-bodied participants, the infrared thermal switch was validated against a conventional chin switch. Impairments in body functions and structures that may contraindicate the use of the infrared thermal switch were explored in a study with seven clients, with severe disabilities. Potential hard and soft technological solutions to mitigate the effect of these impairments on infrared thermal switch use were recommended. Finally the infrared thermal switch was tailored to meet the needs of a young man with severe spastic quadriplegic cerebral palsy, who had no other means of physical access.

Many individuals with severe motor impairments are cognitively capable, but because of their physical impairments, unable to express their intention through conventional means of communication. Access technologies are devices that attempt to translate the intention of these individuals into functional activity by harnessing their residual physical or physiological abilities. The primary objective of this thesis was to design and develop a novel non-invasive and non-contact access technology based on infrared thermal imaging. This access technology translates the local temperature change associated with voluntary mouth opening to activation of a binary switch such as a mouse click or key press. To this end, an algorithm based on motion and temperature analyses, and morphological and anthropometric filters was designed to detect mouth opening activity in thermal video in real-time. The secondary objective of this thesis was to introduce a mutual information measure for objective assessment of binary switch users’ performance. A model was suggested, in which combination of cognitive and physical abilities of the human user of a binary access switch constitute a communication channel. The proposed mutual information measure estimates the rate of information transmission in the ‘human communication channel’ during stimulus response tasks. Using this measure, in a study with ten able-bodied participants, the infrared thermal switch was validated against a conventional chin switch. Impairments in body functions and structures that may contraindicate the use of the infrared thermal switch were explored in a study with seven clients, with severe disabilities. Potential hard and soft technological solutions to mitigate the effect of these impairments on infrared thermal switch use were recommended. Finally the infrared thermal switch was tailored to meet the needs of a young man with severe spastic quadriplegic cerebral palsy, who had no other means of physical access.