Ride Profiling for a Single Speed Bicycle Using an Inertial Sensor

被引:0
作者
Dhinesh, R. [1 ]
Preejith, S. P. [2 ]
Sivaprakasam, Mohanasankar [1 ]
机构
[1] Indian Inst Technol Madras, Dept Elect Engn, Chennai, Tamil Nadu, India
[2] Indian Inst Technol Madras, Healthcare Technol Innovat Ctr, Chennai, Tamil Nadu, India
来源
2019 IEEE INTERNATIONAL SYMPOSIUM ON MEDICAL MEASUREMENTS AND APPLICATIONS (MEMEA) | 2019年
关键词
sports technology; cycling sensor; inertial sensors; athletic performance;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Quantifying aspects related to riding helps cyclists keep track of their performance. Being able to track performance enables a greater understanding of athleticism, strength and endurance required to work on areas of potential improvement. The technology solutions currently available on-the-field facilitate real-time monitoring of these determinants. These solutions render accurate measurements of primary parameters such as cycling speed, cadence and pedal force. However, there is a lack of compact and integrated solutions to quantify the effect of external factors like terrain and slope. Integration of these features along with the measurement of primary parameters enables a comprehensive understanding of ride behaviour and handling. This paper presents a system to quantify these diverse aspects for a single speed bicycle using a single inertial sensor device. Computations on measurements are done on the device and results are transmitted wirelessly to a smartphone. The device is attached to the rear wheel, and it measures primary parameters such as cycling speed and cadence. Relative pedal force, acceleration and braking metrics are derived from the variations caused in the speed profile computed. Terrain and slope affect these derived parameters, and therefore the changes caused by them are measured to obtain relativistic information on the effect of these external factors. Real-time visualization of primary aspects and long term monitoring of performance under the influence of varying external factors benefit cyclists with insights for training and improvement.
引用
收藏
页数:6
相关论文
共 50 条
[31]   Designing an inertial measuring system using system-on-chip and sensor microsystems integration [J].
Fito, Xavier ;
Kanellou, Eleni ;
Yi, Guo ;
Ferrer, Carles .
2006 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, VOLS 1-7, 2006, :3260-+
[32]   Fall Detection Using Kinematic Features from a Wrist-Worn Inertial Sensor [J].
Dhinesh, R. ;
Naheem, Minhas ;
Khandelwal, Shubham ;
Preejith, S. P. ;
Joseph, Jayaraj ;
Sivaprakasam, Mohanasankar .
2019 IEEE INTERNATIONAL SYMPOSIUM ON MEDICAL MEASUREMENTS AND APPLICATIONS (MEMEA), 2019,
[33]   Opportunistic Calibration Method for Walking Distance Estimation Using a Waist-Mounted Inertial Sensor [J].
Pham, Thanh Tuan ;
Duong, Huu Toan ;
Suh, Young Soo .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 69 (10) :7906-7913
[34]   Estimation of Human Foot Motion During Normal Walking Using Inertial and Magnetic Sensor Measurements [J].
Yun, Xiaoping ;
Calusdian, James ;
Bachmann, Eric R. ;
McGhee, Robert B. .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2012, 61 (07) :2059-2072
[35]   Prediction of Kick Count in Triathletes during Freestyle Swimming Session Using Inertial Sensor Technology [J].
Bianchi, Valentina ;
Ambrosini, Luca ;
Presta, Valentina ;
Gobbi, Giuliana ;
De Munari, Ilaria .
APPLIED SCIENCES-BASEL, 2022, 12 (13)
[36]   Inertial Motion Tracking Using Sensor Saturation Compensation with l1 Norm Regularization [J].
Suh, Young Soo .
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2017, 15 (05) :2001-2012
[37]   Validation of Spatiotemporal and Kinematic Measures in Functional Exercises Using a Minimal Modeling Inertial Sensor Methodology [J].
Hindle, Benjamin R. ;
Keogh, Justin W. L. ;
Lorimer, Anna, V .
SENSORS, 2020, 20 (16) :1-21
[38]   Inertial motion tracking using sensor saturation compensation with l1 norm regularization [J].
Young Soo Suh .
International Journal of Control, Automation and Systems, 2017, 15 :2001-2012
[39]   An Evaluation of Inertial Sensor Based Pointing Device Using Multidirectional Point-and-Select Task [J].
Music, Josip ;
Cecic, Mojmil ;
Bonkovic, Mirjana .
RECENT ADVANCES IN AUTOMATION & INFORMATION: PROCEEDINGS OF THE 10TH WSEAS INTERNATIONAL CONFERENCE ON AUTOMATION & INFORMATION (ICAI'09), 2009, :163-+
[40]   Accurate Horse Gait Event Estimation Using an Inertial Sensor Mounted on Different Body Locations [J].
Darbandi, Hamed ;
Braganca, Filipe Serra ;
van der Zwaag, Berend Jan ;
Havinga, Paul .
2022 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING (SMARTCOMP 2022), 2022, :329-335