ŽMOGAUS ŽINGSNIŲ IDENTIFIKAVIMAS TALPINIAIS JUTIKLIAIS

Human step identification using capacitive sensing

  • Vytenis Sinkevičius Klaipeda State University of Applied Sciences
  • Daiva Stanelytė Lithuanian Energy Institute
Keywords: identification of human steps, capacitive sensors

Abstract

Various electrical, wireless, video or other systems are used for the human body recognition in smart homes. They are perfect for localization of the human position - to determine where he is. Some systems recognize a person's posture: standing, sitting or falling down on the floor. Significantly fewer systems that allow the analysis of human activity without the use of additional equipment on the human body or clothing. Such systems analyze how a person moves, jumps or runs. Here it is necessary to identify leg movements relative to the floor surface. Human step identification is also relevant in the art, when interactive exposures are used that respond to the visitor's movement, speed and direction.

The possibilities of recognizing human-step movements are analyzed in this article. The system is designed for exhibitions, when people hold a dedicated path from one exhibit to the next. Their steps generate a variety of acoustic or light effects. The step identification system must recognize the movement of the leg - rising from the floor or reaching it. Without the use of sensors on the human body, such a motion can be identified only using image recognition systems or capacitive sensors. Capacitive sensor with transducer and receiver electrodes is selected, because of the "invisibility" of the system. The transmitter electrode is placed horizontally under the protective layer. The receiver electrode is vertical, used as a limiting barrier. The electrodes are positioned along the all path, where the effects are generated. Human legs and pads are like additional capacitor electrodes in this measurement system. In this way, the total measured capacitance between the transmitter and receiver electrodes depends on the distance from the foot to the floor. Capacity change makes it easy to identify the distance between the leg and the floor.

Conclusions:

  1. The chosen method of identifying human steps is "invisible" to the user.
  2. The measuring system uses two electrodes and can be adapted to the design of the environment.

3. This identification system uses only two long electrodes along the path.

Author Biographies

Vytenis Sinkevičius, Klaipeda State University of Applied Sciences

Prof. Dr; Klaipeda State University of Applied Sciences, Lithuania.

Areas of scientific interests: robotic and automation.

Daiva Stanelytė, Lithuanian Energy Institute

PhD student; Lithuanian Energy Institute, Lithuania.

Areas of scientific interests: smart grids, optimization methods.

Published
2018-12-21
How to Cite
Sinkevičius, V., & Stanelytė, D. (2018). ŽMOGAUS ŽINGSNIŲ IDENTIFIKAVIMAS TALPINIAIS JUTIKLIAIS. Taikomieji Tyrimai Studijose Ir Praktikoje - Applied Research in Studies and Practice, 14(1), 88-92. Retrieved from https://ojs.panko.lt/index.php/ARSP/article/view/59