## 4 Discussion  
The focus of this study was to develop a model that could predict emotion from the physiological signals of children with SMCIs. Based on the DEAP model, data from typically developing individuals could be used to identify emotions with results greater than chance. However, when the model was applied to data collected from children with SMCIs, the results were less convincing. Only in one case, SMCI08, were the emotional outcomes similar in accuracy to the DEAP dataset. During our study of the data from participants with SMCIs, their emotional responses were found to be difficult to assess due to the complexity of mixed and base emotions. A component of this may have also been influenced by the natural ability to hide or suppress emotion. A few participants tried to be explicit in the expression of their emotions so that their caregivers could easily interpret their feelings, while others chose to artificially express their feelings (based on discussions with the caregivers during breaks in the testing). Though some of the children with SMCIs did not pay any attention to our attempts to assess their emotions (in conjunction with their caregivers), some were able to focus and provide an accurate description of their feelings. If participants were given the opportunity to wear a device in a longer-term study, the novelty of \"tricking the system\" would diminish. This would enhance the ability to record data that are more meaningful from a research perspective as the system would be a part of their regular environment. This would lead to fewer attempts to hide emotions. This study used the SAM tool that requires non-verbal interaction; however, the participant does require communication skills to navigate this method, and the responses are based on a cognitive understanding of emotion. Though self-reporting is essential to understanding emotion, it relies on participants being able to comprehend their emotions fully and reliably, and successfully communicate these feelings to researchers [20]. The SAM tool can add an additional barrier, as the participants have to be able to understand the nuanced components of pleasure, arousal, and dominance without prior experience. We found that using words attributable to emotions was more attenable for some of the children with SMCIs, especially when they had difficulty with the PAD concepts. Some of the participants could not hold their hand steady enough to keep the biophysical signals recording device secure enough to enable the recording of accurate signals. This resulted in a reduced amount of data collected. A device that attached securely to the participants' torsos or larger limbs could be more beneficial than a hand sensor for collecting accurate data. Better data from more participants with disabilities would enhance the accuracy of the model and allow it to be more generalizable. Following suggestions from [PERSON] et al. [27] would enhance this data collection process. When training the model, different training durations were evaluated. Based on the standard IAPS protocol, images should be shown for six seconds, which was implemented in this study for the participants with SMCIs. However, [PERSON] et al. [32] found that different emotions have different durations. It is possible that different time windows may allow for the better identification of different emotions. Since this study was focused on the six basic emotions, it is possible that the duration did not allow for accurate identification. [PERSON] et al. [32] also found that women feel emotion for a longer time period than men. Since the DEAP and SMCI models were not person-specific, nuances in emotional response were not evaluated and may be considered in future work. Another aspect that could contribute to accuracy when detecting emotions is that different events' importance also causes different durations of feeling an emotion. [PERSON] et al. [32] found that different training durations were better or worse depending on the duration of the signal evaluated.