Nurse care activity recognition based on machine learning techniques using accelerometer data-Reference-Cited by-同舟云学术

Nurse care activity recognition based on machine learning techniques using accelerometer data

Published:2020-09-10 Issue: Volume: Page:
ISSN:
Container-title:Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
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Author:

Irbaz Mohammad Sabik¹,Azad Abir¹,Sathi Tanjila Alam¹,Lota Lutfun Nahar¹

Affiliation:

1. Islamic University of Technology, Gazipur, Dhaka, Bangladesh

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3410530.3414339

Reference26 articles.

1. Ling Bao and Stephen S. Intille. 2004. Activity Recognition from User-Annotated Acceleration Data. In Pervasive Computing Alois Ferscha and Friedemann Mattern (Eds.). Springer Berlin Heidelberg Berlin Heidelberg. Ling Bao and Stephen S. Intille. 2004. Activity Recognition from User-Annotated Acceleration Data. In Pervasive Computing Alois Ferscha and Friedemann Mattern (Eds.). Springer Berlin Heidelberg Berlin Heidelberg.

2. Jason Brownlee. 2016. K-nearest neighbors for machine learning. Machine Learning Mastery 15 (2016). Jason Brownlee. 2016. K-nearest neighbors for machine learning. Machine Learning Mastery 15 (2016).

3. On the use of ensemble of classifiers for accelerometer-based activity recognition

4. Smartphone Data Analysis for Human Activity Recognition

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1. Accelerometer based Complex Nurse Care Activity Recognition using Machine Learning Approach;Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers;2021-09-21