This paper presents an Open Platform Activity and health monitoring systems which are also called e-Health systems. These systems measure and store parameters that reflect changes in the human body. Due to continuous monitoring (e.g. in rest state and in physical effort state), a specialist can learn about the individual's physiological parameters. Because the human body is a complex system, the examiner can notice some changes within the body by looking at the physiological parameters. Six different sensors ensure us that the patient's individual parameters are monitored. The main components of the device are: A Raspberry Pi 3 small single-board computer, an e-Health Sensor Platform by Cooking-Hacks, a Raspberry Pi to Arduino Shields Connection Bridge and a 7-inch Raspberry Pi 3 touch screen. The processing unit is the Raspberry Pi 3 board. The Raspbian operating system runs on the Raspberry Pi 3, which provides a solid base for the software. Every examination can be controlled by the touch screen. The measurements can be started with the graphical interface by pressing a button and every measured result can be represented on the GUI’s label or on the graph. The results of every examination can be stored in a database. From that database the specialist can retrieve every personalized data.
 L. Gatzoulis, I. Iakovidis, “Wearable and Portable eHealth Systems”, IEEE Engineering in Medicine and Biology Magazine, vol. 26, no. 5, pp. 1-2, 2007.
 A. Alexan, A. Osan, S. Oniga, “Personal assistant robot,” in Proceedings of 2012 IEEE 18th International Symposium for Design and Technology in Electronic Packaging, Alba Iulia, Romania, 2012.
 A. Alexan, A. Osan, S. Oniga, “AssistMe robot, an assistance robotic platform,” Carpathian Journal of Electronic and Computer Engineering, vol. 5, no. 1, pp. 1-4, 2012.
 I. Orha, S. Oniga, “Assistance and telepresence robots: a solution for elderly people,” Carpathian Journal of Electronic and Computer Engineering, vol. 5, no. 1, pp. 87-90, 2012.
 J. Sütő, S. Oniga, “Remote controlled data collector robot,” Carpathian Journal of Electronic and Computer Engineering, vol. 5, no. 1, pp. 117-120, 2012.
 E. Ackerman, “Suitable Technologies Introduces Beam Remote Presence System,” IEEE Spectrum Robotics News, 26 September 2012.
 Ha M. Do, C. Mouser, W. Sheng, “An Open Platform Telepresence Robot with Natural Human Interface” Proceedings of the 2013 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems May 26-29, 2013, Nanjing, China.
 D. Feil-Seifer, M. Mataric, “Human-robot interaction,” in Encyclopedia of Complexity and System Science, new York, Springer, 2009, pp. 4643-4659.
 I. A. Pap, S. Oniga, I. Orha, A. Alexan, “IoT-Based eHealth Data Acquisition System”, International Conference on Automation, Quality and Testing, Robotics, Cluj-Napoca, Romania, 2018.
 P. Freedson, H. Bowles, R. Troiano, W. Haskell, “Assessment of Physical Activity Using Wearable Monitors”, Medicine & Science in Sports & Exercise, vol. 44, pp. S1-S4, 2012.
 V. Dupourqué, “DOMEO, an Open Robotic Platform for Cognitive and Physical Personalized Homecare Services,” in Workshop PAL, Sophia Antipolis, France, 2011.
 A. Mataric, A. Okamura, H. Christensen, “A Research Roadmap for Medical and Healthcare Robotics,” Arlington, VA, 2008.
 M. Heerink, B. Kröse, V. Evers, B. Wielinga, “Assessing Acceptance of Assistive Social Agent Technology by Older Adults: the Almere Model,” International Journal of Social Robotics, vol. 2, no. 4, pp. 361-375, 2010.
 J. Lu, S. Zhang, “Master Thesis - E-health Web Application Framework and Platform Based On The Cloud Technology”, School of Health and Society Department Design and Computer Science, 2013.