Towards a Complete Set of Gym Exercises Detection Using Smartphone Sensors
Joint Authors
Khan, Muhammad Amir
Jadoon, Waqas
Khan, Iftikhar Ahmed
Khan, Usman Ali
Din, Ahmad
Jadoon, Rab Nawaz
Khan, Fiaz Gul
Khan, Abdul Nasir
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-22
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Smartphones with gym exercises predictors can act as trainers for the gym-goers.
However, various available solutions do not have the complete set of most practiced exercises.
Therefore, in this research, a complete set of most practiced 26 exercises was identified from the literature.
Among the exercises, 14 were unique and 12 were common to the existing literature.
Furthermore, finding suitable smartphone attachment position(s) and the number of sensors to predict exercises with the highest possible accuracy were also the objectives of the research.
Besides, this study considered the most number of participants (20) as compared to the existing literature (maximum 10).
The results indicate three key lessons: (a) the most suitable classifier to predict a class (exercise) from the sensor-based data was found to be KNN (K-nearest neighbors); (b) the sensors placed at the three positions (arm, belly, and leg) could be more accurate than other positions for the gym exercises; and (c) accelerometer and gyroscope when combined can provide accurate classification up to 99.72% (using KNN as classifier at all 3 positions).
American Psychological Association (APA)
Khan, Usman Ali& Khan, Iftikhar Ahmed& Din, Ahmad& Jadoon, Waqas& Jadoon, Rab Nawaz& Khan, Muhammad Amir…[et al.]. 2020. Towards a Complete Set of Gym Exercises Detection Using Smartphone Sensors. Scientific Programming،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1209067
Modern Language Association (MLA)
Khan, Usman Ali…[et al.]. Towards a Complete Set of Gym Exercises Detection Using Smartphone Sensors. Scientific Programming No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1209067
American Medical Association (AMA)
Khan, Usman Ali& Khan, Iftikhar Ahmed& Din, Ahmad& Jadoon, Waqas& Jadoon, Rab Nawaz& Khan, Muhammad Amir…[et al.]. Towards a Complete Set of Gym Exercises Detection Using Smartphone Sensors. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1209067
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209067