Figure 2.

Mean Matthews correlation coefficient (MCC) results with 95% confidence intervals for 13 subject trials. The blue dashed line is drawn at 0.87 (87%), the level of predictive performance provided by the combination of the best acceleration and the best temperature algorithm (ie, acceleration 4 and temperature 2). (a) Algorithms which produced the lowest accuracy. (b) Best performing sensor algorithms. (c) Exclusive combinations of sensor/algorithms at predicting subject wear-time. (d) Non-exclusive combinations, or majority agreement of sensor/algorithms at predicting subject wear-time.