Research and development of IMU sensors-based approach for sign language gesture recognition
This paper discusses a few Inertial Measurement Unit (IMU) sensor-based approaches for sign language gesture recognition. Generally, there are three main research areas for the IMU sensor-based approach which consist of the device structure, sensors fusion algorithm and calibration method, and final...
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Universiti Teknikal Malaysia Melaka
2017
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author | Abdullah, A. Abdul-Kadir, N. A. Che Harun, F. K. |
author_facet | Abdullah, A. Abdul-Kadir, N. A. Che Harun, F. K. |
author_sort | Abdullah, A. |
collection | ePrints |
description | This paper discusses a few Inertial Measurement Unit (IMU) sensor-based approaches for sign language gesture recognition. Generally, there are three main research areas for the IMU sensor-based approach which consist of the device structure, sensors fusion algorithm and calibration method, and finally gesture recognition and classification method. The device structure includes the number and placement of the sensors to cover the degrees of freedom. Sensors fusion algorithms, such as complementary filter, Kalman filter, and EKF are implemented to combine a variety of sensors used for data acquisition. Several gesture classification and recognition methods are also reviewed in this paper. Some of the limitations related to sensor-based technique such as device structure and classification technique are discussed as a research gap for future references. |
first_indexed | 2024-03-05T20:13:02Z |
format | Article |
id | utm.eprints-76573 |
institution | Universiti Teknologi Malaysia - ePrints |
last_indexed | 2024-03-05T20:13:02Z |
publishDate | 2017 |
publisher | Universiti Teknikal Malaysia Melaka |
record_format | dspace |
spelling | utm.eprints-765732018-05-31T09:26:11Z http://eprints.utm.my/76573/ Research and development of IMU sensors-based approach for sign language gesture recognition Abdullah, A. Abdul-Kadir, N. A. Che Harun, F. K. TK Electrical engineering. Electronics Nuclear engineering This paper discusses a few Inertial Measurement Unit (IMU) sensor-based approaches for sign language gesture recognition. Generally, there are three main research areas for the IMU sensor-based approach which consist of the device structure, sensors fusion algorithm and calibration method, and finally gesture recognition and classification method. The device structure includes the number and placement of the sensors to cover the degrees of freedom. Sensors fusion algorithms, such as complementary filter, Kalman filter, and EKF are implemented to combine a variety of sensors used for data acquisition. Several gesture classification and recognition methods are also reviewed in this paper. Some of the limitations related to sensor-based technique such as device structure and classification technique are discussed as a research gap for future references. Universiti Teknikal Malaysia Melaka 2017 Article PeerReviewed Abdullah, A. and Abdul-Kadir, N. A. and Che Harun, F. K. (2017) Research and development of IMU sensors-based approach for sign language gesture recognition. Journal of Telecommunication, Electronic and Computer Engineering, 9 (3-9). pp. 33-39. ISSN 2180-1843 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041849519&partnerID=40&md5=e047ac8ca61593d1554ec02bc3a62d8b |
spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Abdullah, A. Abdul-Kadir, N. A. Che Harun, F. K. Research and development of IMU sensors-based approach for sign language gesture recognition |
title | Research and development of IMU sensors-based approach for sign language gesture recognition |
title_full | Research and development of IMU sensors-based approach for sign language gesture recognition |
title_fullStr | Research and development of IMU sensors-based approach for sign language gesture recognition |
title_full_unstemmed | Research and development of IMU sensors-based approach for sign language gesture recognition |
title_short | Research and development of IMU sensors-based approach for sign language gesture recognition |
title_sort | research and development of imu sensors based approach for sign language gesture recognition |
topic | TK Electrical engineering. Electronics Nuclear engineering |
work_keys_str_mv | AT abdullaha researchanddevelopmentofimusensorsbasedapproachforsignlanguagegesturerecognition AT abdulkadirna researchanddevelopmentofimusensorsbasedapproachforsignlanguagegesturerecognition AT cheharunfk researchanddevelopmentofimusensorsbasedapproachforsignlanguagegesturerecognition |