A. , H. Eu-research, and . Project,

K. M. Aguilar, R. S. Campbell, A. Fiester, R. L. Simpson, and C. Hertel, Bringing Care Home, Nursing Administration Quarterly, vol.38, issue.2, pp.166-172, 2014.
DOI : 10.1097/NAQ.0000000000000029

F. Bentley, K. Tollmar, P. Stephenson, L. Levy, B. Jones et al., Health Mashups, ACM Transactions on Computer-Human Interaction, vol.20, issue.5, p.30, 2013.
DOI : 10.1145/2503823

G. Bluetooth and . Specifications,

F. Chen, P. Deng, J. Wan, D. Zhang, A. V. Vasilakos et al., Data Mining for the Internet of Things: Literature Review and Challenges, International Journal of Distributed Sensor Networks, vol.11, issue.2, p.11431047, 2015.
DOI : 10.1145/2480362.2480688

E. K. Choe, N. B. Lee, B. Lee, W. Pratt, and J. A. Kientz, Understanding quantified-selfers' practices in collecting and exploring personal data, Proceedings of the 32nd annual ACM conference on Human factors in computing systems, CHI '14, pp.1143-1152, 2014.
DOI : 10.1145/2556288.2557372

D. Silva, A. H. Sampath, W. H. Sameera, N. H. Amarasinghe, Y. W. Mitani et al., Development of a wearable tele-monitoring system with IoT for bio-medical applications, 2016 IEEE 5th Global Conference on Consumer Electronics, pp.1-2, 2016.
DOI : 10.1109/GCCE.2016.7800404

T. Fawcett, Mining the Quantified Self: Personal Knowledge Discovery as a Challenge for Data Science, Big Data, vol.3, issue.4, pp.249-266, 2015.
DOI : 10.1089/big.2015.0049

. Fitbit-official-website,

D. Ledger and D. Mccaffrey, Endeavour Partners Report: Inside Wearables: How the Science of Human Behavior Change Offers the Secret to Long-term Engagement, 2016.

A. L. Kor, M. Yanovsky, C. Pattinson, and V. Kharchenko, SMART-ITEM: IoT-enabled smart living, 2016 Future Technologies Conference (FTC), pp.739-749, 2016.
DOI : 10.1109/FTC.2016.7821687
URL : http://eprints.leedsbeckett.ac.uk/4104/1/SMART-ITEMAM_KOR.pdf

D. Leibenger, F. Möllers, A. Petrlic, R. Petrlic, and C. Sorge, Privacy Challenges in the Quantified Self Movement ??? An EU Perspective, Proceedings on Privacy Enhancing Technologies, pp.315-334, 2016.
DOI : 10.1016/0749-5978(91)90020-T

J. Li, J. Jin, D. Yuan, M. Palaniswami, and K. Moessner, EHOPES: Data-centered Fog platform for smart living, 2015 International Telecommunication Networks and Applications Conference (ITNAC), pp.308-313, 2015.
DOI : 10.1109/ATNAC.2015.7366831

E. Mackensen, M. Lai, and T. M. Wendt, Bluetooth Low Energy (BLE) based wireless sensors, 2012 IEEE Sensors, pp.1-4, 2012.
DOI : 10.1109/ICSENS.2012.6411303

. Matplotlib, plotting library for the Python: https://matplotlib

M. J. Mcgrath and C. N. Scanaill, Wellness, Fitness, and Lifestyle Sensing Applications, Sensor Technologies, pp.217-248, 2013.
DOI : 10.1007/978-1-4302-6014-1_10

A. Menychtas, C. Doukas, P. Tsanakas, and I. Maglogiannis, A Versatile Architecture for Building IoT Quantified-Self Applications, 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS), pp.500-505, 2017.
DOI : 10.1109/CBMS.2017.80

A. Menychtas, P. Tsanakas, and I. Maglogiannis, Automated integration of wireless biosignal collection devices for patient-centred decision-making in point-of-care systems, Healthcare Technology Letters, vol.3, issue.1, p.34, 2016.
DOI : 10.1049/htl.2015.0054

S. A. Munson and S. Consolvo, Exploring Goal-setting, Rewards, Self-monitoring, and Sharing to Motivate Physical Activity, Proceedings of the 6th International Conference on Pervasive Computing Technologies for Healthcare, pp.25-32, 2012.
DOI : 10.4108/icst.pervasivehealth.2012.248691
URL : http://www.smunson.com/portfolio/projects/swellness/gpgl-pervasivehealth-final.pdf

P. Numpy, . For, . Computing, and . Python,

C. Panagopoulos, F. Malli, A. Menychtas, E. P. Smyrli, A. Georgountzou et al., Utilizing a Homecare Platform for Remote Monitoring of Patients with Idiopathic Pulmonary Fibrosis, pp.2016-177, 2016.
DOI : 10.1016/S0140-6736(11)60052-4

. Pcmag and . Com, The Best Fitness Trackers of 2017 Available online at

, Scikit-learn, machine learning in Python: http://scikit-learn

M. Swan, The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery, Big Data, vol.1, issue.2, pp.85-99, 2013.
DOI : 10.1089/big.2012.0002

B. D. Weinberg, G. R. Milne, Y. G. Andonova, and F. M. Hajjat, Internet of Things: Convenience vs. privacy and secrecy, Business Horizons, vol.58, issue.6, pp.615-624, 2015.
DOI : 10.1016/j.bushor.2015.06.005