Using Temporal Convolutional networks we demonstrate that pressure sensor arrays installed underneath a mattress can produce competitive results compared to on mattress arrays with significantly more sensors in body position classification and sleep-wake classification. This work demonstrates the potential for pressure-sensitive mats to be a cost-efficient mean of assesing sleep while reducing patient burden and workload of specialized staff.