Giyilebilir Minyatür Atalet ve Manyetik Sensörler (MIMU) Vasıtasıyla Alt Ekstremite Aktivitelerinin Makine Öğrenmesi Algoritmaları İle Sınıflandırılması

Beyda Taşar

doi:10.53433/yyufbed.931553

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Giyilebilir Minyatür Atalet ve Manyetik Sensörler (MIMU) Vasıtasıyla Alt Ekstremite Aktivitelerinin Makine Öğrenmesi Algoritmaları İle Sınıflandırılması

Öz

Bu çalışmada, giyilebilir minyatür atalet sensör kullanılarak insan alt ekstremite aktivitelerinin sınıflandırılması çalışması gerçekleştirilmiştir. Çalışmada kullanılan atalet sensörü dokuz serbestlik dereceli olup bünyesinde üç eksenli bir jiroskop, üç eksenli bir ivmeölçer ve üç eksenli bir manyetometre barındırmaktadır. Gönüllü kişinin sağ ayak bileğine giydiği takılan bir adet atalet sensör vasıtasıyla kişin yürüme, koşma, merdiven çıkma, oturma hareketleri esnasında hareket verileri toplanmış ve kaydedilmiştir. İlk olarak kaydedilen bu üç sensör verisi sentezlenerek bacağın hareket esnasındaki kinematik yönelim açıları (yunuslama, yuvarlama, yalpa) hesaplanmıştır. Sonrasında bu yönelim açılarına ait iki adet özellik (enerji ve maksimum değer) matrisi hesaplanmıştır. Hesaplanan bu özellik matrisleri hareket sınıflandırma algoritmalarına girdi olarak verilmiştir. Çalışma kapsamında dört adet hareket sınıflandırma algoritması kullanılmıştır. Bunlar karar ağacı, k-en yakın komşu, destek vektör makinası ve rastgele orman sınıflandırma algoritmalarıdır. Tüm alt ekstremite hareket tiplerinde en yüksek sınıflandırma başarısı en yakın komşu sınıflandırıcısı ile elde edilmiş olup yürüme, koşma, oturma, merdiven çıkma hareketleri için sırası ile hareket sınıflandırma doğruluğu %83.3, %100, % 83.3ve %91.6’dir.

Anahtar Kelimeler

MIMU, Alt ekstremite aktivitelerinin sınıflandırılması, Makina öğrenmesi

Classification of Lower Extremity Activities by Machine Learning Algorithms by Wearable Miniature Inertia and Magnetic Sensors (MIMU)

Öz

In this study, a classification study of human lower extremity activities was carried out using a wearable miniature inertial sensor. The inertial sensor used in the study has nine degrees of freedom and includes a three-axis gyroscope, a three-axis accelerometer and a three-axis magnetometer. Movement data were collected and recorded during the walking, running, climbing stairs and sitting movements of the volunteer by means of an inertial sensor worn on the right ankle of the volunteer. Firstly, these three recorded sensor data were synthesized and the kinematic orientation angles (pitch, roll, yaw) of the leg during the movement were calculated. Then, two property (energy and maximum value) matrices of these orientation angles were calculated. These calculated feature matrices are given as input to motion classification algorithms. Within the scope of the study, four motion classification algorithms were used. These are decision tree, k-nearest neighbor, support vector machine and random forest classification algorithms. The highest classification success in all lower extremity motion types was obtained with the nearest neighbor classifier, and the motion classification accuracy was 83.3%, 100%, 83.3%, and 91.6% for walking, running, sitting, and climbing stairs, respectively.

Anahtar Kelimeler

MIMU, Classification of lower extremity activities, Machine Learning

Kaynakça

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Ayrıntılar

Birincil Dil

Türkçe

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yazarlar

Beyda Taşar ^*
0000-0002-4689-8579
Türkiye

Yayımlanma Tarihi

31 Aralık 2021

Gönderilme Tarihi

2 Mayıs 2021

Kabul Tarihi

5 Kasım 2021

Yayımlandığı Sayı

Yıl 2021 Cilt: 26 Sayı: 3

DOI

https://doi.org/10.53433/yyufbed.931553

IZ

https://izlik.org/JA54UB35DX

APA

Taşar, B. (2021). Giyilebilir Minyatür Atalet ve Manyetik Sensörler (MIMU) Vasıtasıyla Alt Ekstremite Aktivitelerinin Makine Öğrenmesi Algoritmaları İle Sınıflandırılması. Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 26(3), 123-134. https://doi.org/10.53433/yyufbed.931553

AMA

1.Taşar B. Giyilebilir Minyatür Atalet ve Manyetik Sensörler (MIMU) Vasıtasıyla Alt Ekstremite Aktivitelerinin Makine Öğrenmesi Algoritmaları İle Sınıflandırılması. YYUFBED. 2021;26(3):123-134. doi:10.53433/yyufbed.931553

Chicago

Taşar, Beyda. 2021. “Giyilebilir Minyatür Atalet ve Manyetik Sensörler (MIMU) Vasıtasıyla Alt Ekstremite Aktivitelerinin Makine Öğrenmesi Algoritmaları İle Sınıflandırılması”. Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi 26 (3): 123-34. https://doi.org/10.53433/yyufbed.931553.

EndNote

Taşar B (01 Aralık 2021) Giyilebilir Minyatür Atalet ve Manyetik Sensörler (MIMU) Vasıtasıyla Alt Ekstremite Aktivitelerinin Makine Öğrenmesi Algoritmaları İle Sınıflandırılması. Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi 26 3 123–134.

IEEE

[1]B. Taşar, “Giyilebilir Minyatür Atalet ve Manyetik Sensörler (MIMU) Vasıtasıyla Alt Ekstremite Aktivitelerinin Makine Öğrenmesi Algoritmaları İle Sınıflandırılması”, YYUFBED, c. 26, sy 3, ss. 123–134, Ara. 2021, doi: 10.53433/yyufbed.931553.

ISNAD

Taşar, Beyda. “Giyilebilir Minyatür Atalet ve Manyetik Sensörler (MIMU) Vasıtasıyla Alt Ekstremite Aktivitelerinin Makine Öğrenmesi Algoritmaları İle Sınıflandırılması”. Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi 26/3 (01 Aralık 2021): 123-134. https://doi.org/10.53433/yyufbed.931553.

JAMA

1.Taşar B. Giyilebilir Minyatür Atalet ve Manyetik Sensörler (MIMU) Vasıtasıyla Alt Ekstremite Aktivitelerinin Makine Öğrenmesi Algoritmaları İle Sınıflandırılması. YYUFBED. 2021;26:123–134.

MLA

Taşar, Beyda. “Giyilebilir Minyatür Atalet ve Manyetik Sensörler (MIMU) Vasıtasıyla Alt Ekstremite Aktivitelerinin Makine Öğrenmesi Algoritmaları İle Sınıflandırılması”. Yüzüncü Yıl Üniversitesi Fen Bilimleri Enstitüsü Dergisi, c. 26, sy 3, Aralık 2021, ss. 123-34, doi:10.53433/yyufbed.931553.

Vancouver

1.Beyda Taşar. Giyilebilir Minyatür Atalet ve Manyetik Sensörler (MIMU) Vasıtasıyla Alt Ekstremite Aktivitelerinin Makine Öğrenmesi Algoritmaları İle Sınıflandırılması. YYUFBED. 01 Aralık 2021;26(3):123-34. doi:10.53433/yyufbed.931553

Cited By

Sporcular için Sensör Verileri Üzerinden Yapay Zeka ile Performans Yönetimi

Karaelmas Science and Engineering Journal

https://doi.org/10.7212/karaelmasfen.1534899

Giyilebilir Minyatür Atalet ve Manyetik Sensörler (MIMU) Vasıtasıyla Alt Ekstremite Aktivitelerinin Makine Öğrenmesi Algoritmaları İle Sınıflandırılması

Öz

Anahtar Kelimeler

Classification of Lower Extremity Activities by Machine Learning Algorithms by Wearable Miniature Inertia and Magnetic Sensors (MIMU)

Öz

Anahtar Kelimeler

Kaynakça

Ayrıntılar

Birincil Dil

Konular

Bölüm

Yazarlar

Yayımlanma Tarihi

Gönderilme Tarihi

Kabul Tarihi

Yayımlandığı Sayı

DOI

IZ

Kaynak Göster

Cited By

Sporcular için Sensör Verileri Üzerinden Yapay Zeka ile Performans Yönetimi