Design of Dementia Prevention System using Motion Recognition Sensor Drone
Sung-Jin Jeoung1, Bong-Hyun Kim2

1Sung-Jin Jeoung, P.H.D. Candidate, Seoul Business School, Seoul School of Integrated Science & Technologies, Seoul, Republic of Korea, East Asian.

2Bong-Hyun Kim, Professor, Department of Smart IT, U1 University, Chung Cheong Buk-do, Republic of Korea, East Asian.

Manuscript received on 10 June 2019 | Revised Manuscript received on 17 June 2019 | Manuscript Published on 22 June 2019 | PP: 704-709 | Volume-8 Issue-8S2 June 2019 | Retrieval Number: H11180688S219/19©BEIESP

Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (

Abstract: The population of elderly people with dementia is increasing rapidly as they enter the aging society all over the world. Considering the increase in the number of demented elderly people and the increase in the expenditure cost per demented elderly person, the economic burden is expected to increase continuously. In the end, it is essential to prevent dementia in advance in an aging society. Therefore, in this paper, a dementia prevention system is designed by linking motion recognition technology and drone flight control technology among ICT convergence technologies. That is, motion recognition technology is applied among various methods for controlling the drone flight. In order to prevent dementia of the elderly, it is designed to control the drone flight by sending sensor data by motion recognition. In this paper, we propose a drone flight control system to prevent dementia using motion recognition technology based on data input from motion sensor. At this time, the linkage between the motion recognition part and the dragon flight part is performed by the controller. The controller uses the integrated module to envision the entire system environment. The motion recognition sensor transmits the currently input motion data to the controller. The Drone receives the Controller command and provides the Drone control command. In this paper, we have designed a system to prevent dementia through drone flight control using motion recognition. That is, the motion recognition sensor receives the motion of the elderly person and controls the drone flight.

Keywords: Drone, Motion Recognition, Dementia Prevention, Gesture Recognition, Sensor Network.
Scope of the Article: Sensor Networks, Actuators for the Internet of Things