By Emile Aarts, Boris de Ruyter, Panos Markopoulos, Evert van Loenen, Reiner Wichert, Ben Schouten, Jacques Terken, Rob Van Kranenburg, Elke Den Ouden, Gregory O'Hare
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Additional info for Ambient Intelligence: European Conference, AmI 2014, Eindhoven, The Netherlands, November 11-13, 2014. Revised Selected Papers
5 Conclusions and Future Work In this work we showed how accelerometer and Wi-Fi data collected from smartphones can be used to classify walking in synchrony between users. First, we used accelerometer data and Wi-Fi data independently. Our results suggest that using just an accelerometer gives better results than using just Wi-Fi. Then, we combined both sensors and the overall accuracy increased because when adding Wi-Fi it was possible to reduce the false positives due to the fact that the persons may be walking at the same time but in diﬀerent places.
AmI 2014, LNCS 8850, pp. 33–46, 2014. 1007/978-3-319-14112-1 3 34 E. Garcia-Ceja et al. The current practice of using surveys, diaries and self reporting methods to record social interactions has several drawbacks such as recall bias, memory dependence, and high end-user eﬀort for continuous long term monitoring . Also, many serious mental illness (SMI) require lifelong management and individuals need to constantly look for signs that might indicate relapse , which is infeasible with manual methods.
This is because there is no threshold value in the ROC curve that produces a combination of both sensitivity and speciﬁcity that are greater or equal to the ones obtained when using accelerometer data. Fig. 6. Resulting ROC curve for diﬀerent threshold values of the BSSIDs variance Finally, we performed the prediction by combining both, accelerometer and Wi-Fi data. Many of the false positives are there because the users may be walking at the same time even though they are in diﬀerent places. (5) to compute the distance between the control user and the test user at any given time slot.
Ambient Intelligence: European Conference, AmI 2014, Eindhoven, The Netherlands, November 11-13, 2014. Revised Selected Papers by Emile Aarts, Boris de Ruyter, Panos Markopoulos, Evert van Loenen, Reiner Wichert, Ben Schouten, Jacques Terken, Rob Van Kranenburg, Elke Den Ouden, Gregory O'Hare