Travel Mapping Aid for Blind Persons Using Swarm Intelligence
- 10.2991/aer.k.201221.065How to use a DOI?
- mapping-navigation, inertial-measurement-unit, compass, swarm intelligent
The basic problems of blind persons in doing independent activities from one place to another are the mapping of trips to go and home navigation. The use of the conventional, electronic stick or previous research is still lacking. The results of research on localization of positions and mapping for inside and outside the room are still inaccurate. GPS (Global Position System)/GSM (Global System for Mobile)-based electronic aids are constrained by their use in building spaces, weather, accuracy, and limited areas. Information on the latitude-longitude position of at least 3 points of the satellite signal is not perfectly captured indoors due to the faraday cage factor. The signal capture of the device is affected by electromagnetic waves due to bad weather and the accuracy of the device is ± 15 m. And deliberate randomization of signals in a limited area for secret purposes (security, government). Zigbee-based electronic tools, wireless, visible LED Light, and limited fingerprint with localization results that are too large, so that the points from one another are too far. The focus of this research is developing a stick assist (whitecan) feature that can provide route information directions independently. Data of points traveling away generated from a combination of IMU (inertial-measurement-unit) sensors and a compass. The movement of each step on-demand based on changes in speed from the IMU sensor, while the direction is in units of 0 to 360° values based on the compass sensor. Using the concept of sequential, accelerometer data, and compass are a tabulation of data points to depart is used for mapping of trips to leave. The recorded data were compared directly with the two sensors on the microcontroller using a swarm intelligent algorithm for home navigation. The algorithm processing results are informed in the form of voice instructions and the number of steps, the accuracy is 84% with a shift error of ± 1 m.
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Budi Setiadi AU - Endang Darwati AU - Adnan Rafi Al Tahtawi AU - Tata Supriyadi AU - Ridwan Solihin AU - Fryma Zhafran Raihan AU - Varian Andika Wijayakusuma AU - Muhammad Hafiz Aziz PY - 2020 DA - 2020/12/22 TI - Travel Mapping Aid for Blind Persons Using Swarm Intelligence BT - Proceedings of the International Seminar of Science and Applied Technology (ISSAT 2020) PB - Atlantis Press SP - 394 EP - 398 SN - 2352-5401 UR - https://doi.org/10.2991/aer.k.201221.065 DO - 10.2991/aer.k.201221.065 ID - Setiadi2020 ER -