Long-distance running training system based on inertial sensor network

2021 ◽  
pp. 1-9
Author(s):  
Yingjiao Xiang ◽  
Baishun Sun ◽  
Zhiqin Wang ◽  
Fatma Taher
Keyword(s):  
Gait Analysis ◽  
Sensor Network ◽  
Inertial Sensor ◽  
Step Length ◽  
Training System ◽  
Distance Running ◽  
Long Distance ◽  
Running Training ◽  
Long Distance Running ◽  
Analysis System

Long-distance running is an advantage of Chinese sports, but compared with the world level, there is still a big gap. Therefore, an advanced long-distance running training system is urgently needed to scientifically train our long-distance runners to change this situation. The purpose of this article is to study the long-distance running training system under inertial sensor network. According to the actual situation at home and abroad, a human gait analysis system based on inertial sensors is designed. Gait parameters are transformed into clinical medicine through related algorithms and software platforms. Experimental results show that although the step length calculated by the gait analysis system is different from the actual step length, the error value is small, kept below 3 cm, and the error percentage is less than 2%, which meets the accuracy requirements of gait analysis. This fully proves the feasibility of the zero-speed correction method in gait analysis.

Effects of aerobic long distance running training (up to 40 km � day?1) of 1-year duration on blood and endocrine parameters of female beagle dogs

1993 ◽  
Vol 67 (4) ◽  
pp. 321-329 ◽  
Author(s):  
Jari Arokoski ◽  
Paavo V. A. Miettinen ◽  
Anna-Marja S��m�nen ◽  
Kimmo Haapanen ◽  
Markku Parviainen ◽  
...  
Keyword(s):  
Distance Running ◽  
Beagle Dogs ◽  
Long Distance ◽  
Running Training ◽  
Long Distance Running ◽  
Endocrine Parameters

Proteoglycan synthesis in canine intervertebral discs after long-distance running training

1993 ◽  
Vol 11 (5) ◽  
pp. 738-746 ◽  
Author(s):  
K. Puustjärvi ◽  
M. Lammi ◽  
I. Kiviranta ◽  
H. J. Helminen ◽  
M. Tammi
Keyword(s):  
Intervertebral Discs ◽  
Proteoglycan Synthesis ◽  
Distance Running ◽  
Long Distance ◽  
Running Training ◽  
Long Distance Running

scholarly journals The effects long-distance running training in cardiovascular function

2010 ◽  
Vol 19 (1) ◽  
pp. 59-66
Author(s):  
Sang- Nam Nam ◽  
An Jeong-Hun ◽  
김상엽
Keyword(s):  
Cardiovascular Function ◽  
Distance Running ◽  
Long Distance ◽  
Running Training ◽  
Long Distance Running

Pacing behaviour of middle-long distance running & race-walking athletes at the IAAF U18 and U20 World Championship finals

2021 ◽  
pp. 1-10
Author(s):  
Stein Gerrit Paul Menting ◽  
Brian Hanley ◽  
Marije Titia Elferink-Gemser ◽  
Florentina Johanna Hettinga
Keyword(s):  
Distance Running ◽  
Long Distance ◽  
World Championship ◽  
Long Distance Running ◽  
Race Walking

Validation of wearable inertial sensor-based gait analysis system for measurement of spatiotemporal parameters and lower extremity joint kinematics in sagittal plane

2022 ◽  
pp. 095441192110729
Author(s):  
Gunjan Patel ◽  
Rajani Mullerpatan ◽  
Bela Agarwal ◽  
Triveni Shetty ◽  
Rajdeep Ojha ◽  
...  
Keyword(s):  
Gait Analysis ◽  
Motion Analysis ◽  
Motion Capture ◽  
Inertial Sensor ◽  
Joint Kinematics ◽  
Percentage Error ◽  
Motion Capture System ◽  
Spatiotemporal Parameters ◽  
Analysis System ◽  
Motion Capture Systems

Wearable inertial sensor-based motion analysis systems are promising alternatives to standard camera-based motion capture systems for the measurement of gait parameters and joint kinematics. These wearable sensors, unlike camera-based gold standard systems, find usefulness in outdoor natural environment along with confined indoor laboratory-based environment due to miniature size and wireless data transmission. This study reports validation of our developed (i-Sens) wearable motion analysis system against standard motion capture system. Gait analysis was performed at self-selected speed on non-disabled volunteers in indoor ( n = 15) and outdoor ( n = 8) environments. Two i-Sens units were placed at the level of knee and hip along with passive markers (for indoor study only) for simultaneous 3D motion capture using a motion capture system. Mean absolute percentage error (MAPE) was computed for spatiotemporal parameters from the i-Sens system versus the motion capture system as a true reference. Mean and standard deviation of kinematic data for a gait cycle were plotted for both systems against normative data. Joint kinematics data were analyzed to compute the root mean squared error (RMSE) and Pearson’s correlation coefficient. Kinematic plots indicate a high degree of accuracy of the i-Sens system with the reference system. Excellent positive correlation was observed between the two systems in terms of hip and knee joint angles (Indoor: hip 3.98° ± 1.03°, knee 6.48° ± 1.91°, Outdoor: hip 3.94° ± 0.78°, knee 5.82° ± 0.99°) with low RMSE. Reliability characteristics (defined using standard statistical thresholds of MAPE) of stride length, cadence, walking speed in both outdoor and indoor environment were well within the “Good” category. The i-Sens system has emerged as a potentially cost-effective, valid, accurate, and reliable alternative to expensive, standard motion capture systems for gait analysis. Further clinical trials using the i-Sens system are warranted on participants across different age groups.

Physics of long‐distance running

1985 ◽  
Vol 53 (4) ◽  
pp. 371-373
Author(s):  
J. Strnad
Keyword(s):  
Distance Running ◽  
Long Distance ◽  
Long Distance Running
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