Page - 316 - in Intelligent Environments 2019 - Workshop Proceedings of the 15th International Conference on Intelligent Environments

[18] J. Y. Jung and J.W. Lee, “Improvedwban communication atmental healthcare systemwith the per- sonalized bio signal devices,” in 8th International Conference AdvancedCommunication Technology, vol. 1, 2006,pp.4pp.–812. [19] R.R.Fletcher,M.Poh, andH.Eydgahi, “Wearable sensors:Opportunities and challenges for low-cost health care,” inAnnual International Conference of the IEEEEngineering inMedicine and Biology, Aug2010,pp.1763–1766. [20] M.N.Burns,M.Begale, J.Duffecy,D.Gergle,C. J.Karr,E.Giangrande, andD.C.Mohr, “Harnessing context sensing todevelopamobile intervention fordepression,”JournalofMedical InternetResearch, vol. 13,no.3,2011. [21] J. Wijsman, B. Grundlehner, H. Liu, H. Hermens, and J. Penders, “Towards mental stress detection usingwearablephysiological sensors,” inAnnual InternationalConferenceof the IEEEEngineering in MedicineandBiologySociety, 2011,pp.1798–1801. [22] C.G.Butca,G.Suciu,A.Ochian,O.Fratu, andS.Halunga, “Wearable sensors andcloudplatformfor monitoring environmental parameters in e-health applications,” in201411th International Symposium onElectronicsandTelecommunications (ISETC),Nov2014,pp.1–4. [23] N.Palmius,M.Osipov,A.C.Bilderbeck,G.M.Goodwin,K.Saunders,A.Tsanas, andG.D.Clifford, “A multi-sensor monitoring system for objective mental health management in resource constrained environments,” inAppropriate Healthcare Technologies for Low Resource Settings (AHT), 2014, pp. 1–4. [24] M.Hassanalieragh,A.Page,T.Soyata,G.Sharma,M.Aktas,G.Mateos,B.Kantarci,andS.Andreescu, “Healthmonitoringandmanagementusinginternet-of-things(iot)sensingwithcloud-basedprocessing: Opportunities and challenges,” in IEEE International Conference on Services Computing, 2015, pp. 285–292. [25] A. Sano,A. J. Phillips, A. Z.Yu,A.W.McHill, S. Taylor, N. Jaques, C.A. Czeisler, E. B.Klerman, and R.W. Picard, “Recognizing academic performance, sleep quality, stress level, andmental health using personality traits,wearable sensors andmobile phones,” in IEEE12th InternationalConference onWearableand ImplantableBodySensorNetworks (BSN), 2015,pp.1–6. [26] P. Lenca, J. Soulas, and S. Berrouiguet, “From sensors and data to data mining for e-health,” in 8th InternationalConferenceonKnowledgeandSmartTechnology (KST), Feb2016,pp.33306–33317. [27] S. Sahu andA. Sharma, “Detecting brainwaves to evaluatemental health using labview and applica- tions,” in InternationalConferenceonEmergingTechnologicalTrends (ICETT), 2016,pp.1–4. [28] A. A. Farhan, J. Lu, J. Bi, A. Russell, B.Wang, andA. Bamis, “Multi-view bi-clustering to identify smartphone sensing features indicativeofdepression,” in2016 IEEEFirst InternationalConferenceon ConnectedHealth: Applications, Systems andEngineering Technologies, ser. CHASE. IEEE, 2016, pp.264–273. [29] D. C. Mohr, M. Zhang, and S. M. Schueller, “Personal sensing: understanding mental health using ubiquitous sensors andmachine learning,”Annual Review ofClinical Psychology, vol. 13, pp. 23–47, 2017. N.Drissi etal. /On theUseofSensors inMentalHealthcare316