scholarly journals Validation of a Bat Handle Sensor for Measuring Bat Velocity, Attack Angle, and Vertical Angle

2021 ◽  
Vol 9 (2) ◽  
pp. 28
Author(s):  
Ethan Stewart ◽  
Megan Stewart ◽  
Sachini N. K. Kodithuwakku Arachchige ◽  
Alana Turner ◽  
Reuben F. Burch V ◽  
...  
Keyword(s):  
Motion Capture ◽  
Attack Angle ◽  
Sensor Technology ◽  
Camera Motion ◽  
Motion Capture System ◽  
Test Results ◽  
Vertical Angle ◽  
Cross Sectional ◽  
Bat Velocity ◽  
Training Practice

Background: Bat velocity, attack angle, and vertical angle are common variables that coaches and players want to evaluate during their baseball or softball swing. Objective: The purpose of this study was to investigate and validate a baseball bat handle sensor against motion capture using recreational baseball and softball athletes for bat velocity, attack angle, and vertical angle. Methods: This single visit cross-sectional experimental design study utilized eighteen recreational baseball and softball players (ten males and eight females, age: 20.70 ± 1.69 years, height: 170.74 ± 5.69 cm, weight: 77.97 ± 12.30 kg) were recruited. Bat velocity, attack angle, and vertical angle from the bat handle sensor and 12-camera motion capture system were collected and compared using a two-tailed paired t-test. Results: Differences were statistically significant, showing that 95% of the time, the bat handle sensor overestimated the bat velocity by 1.92 to 2.77 m/s, underestimated the attack angle by -3.46 to -1.96º, and overestimated the vertical angle by 1.64 to 3.21º, compared to the motion capture system. Conclusion: The bat velocity and vertical angle were overestimated, while the attack angle was underestimated by the bat sensor. The information presented in this study can be viable information for coaches and players when utilizing the baseball bat handle sensor technology for training, practice, or in-game situations.

Quantifying the Accuracy of a Motion Detecting Neural Prosthesis

2020 ◽  
Author(s):  
Martin L. Tanaka ◽  
Premkumar Subbukutti ◽  
David Hudson ◽  
Kimberly Hudson ◽  
Pablo Valenzuela ◽  
...  
Keyword(s):  
Motion Capture ◽  
Gait Cycle ◽  
Neural Prosthesis ◽  
Average Error ◽  
Camera Motion ◽  
Motion Capture System ◽  
General Shape ◽  
Neural Connections ◽  
Measurement Units ◽  
The Brain

Abstract The neural prosthesis under development is designed to improve gait in people with muscle weakness. The strategy is to augment impaired or damaged neural connections between the brain and the muscles that control walking. This third-generation neural prosthesis contains triaxial inertial measurement units (IMUs - accelerometers, gyroscopes, and processing chip) to measure body segment position and force sensitive resistors placed under the feet to detect ground contact. A study was conducted to compare the accuracy of the neural prosthesis using a traditional camera motion capture system as a reference. The IMUs were found to accurately represent the amplitude of the gait cycle components and generally track the motion. However, there are some differences in phase, with the IMUs lagging the actual motion. Phase lagged by about 10 degrees in the ankle and by about 5 degrees in the knee. Error of the neural prosthesis varied over the gait cycle. The average error for the ankle, knee and hip were 6°, 8°, and 9°, respectively. Testing showed that the neural prosthesis was able to capture the general shape of the joint angle curves when compared to a commercial camera motion capture system. In the future, measures will be taken to reduce lag in the gyroscope and reduce jitter in the accelerometer so that data from both sensors can be combination to obtain more accurate readings.

Biomechanics Analysis of Sepak Takraw Tekong Serves via Depth Camera Motion Capture System

2018 ◽  
pp. 119-128
Author(s):  
Muhammad Zulhilmi Kaharuddin ◽  
Siti Badriah Khairu Razak ◽  
Mohamed Shawal Abd Rahman ◽  
Wee Chang An ◽  
Muhammad Ikram Kushairi ◽  
...  
Keyword(s):  
Motion Capture ◽  
Depth Camera ◽  
Camera Motion ◽  
Motion Capture System

scholarly journals SnakeStrike: A Low-Cost Open-Source High-Speed Multi-Camera Motion Capture System

2020 ◽  
Vol 14 ◽  
Author(s):  
Grady W. Jensen ◽  
Patrick van der Smagt ◽  
Egon Heiss ◽  
Hans Straka ◽  
Tobias Kohl
Keyword(s):  
Open Source ◽  
Motion Capture ◽  
High Speed ◽  
Low Cost ◽  
Camera Motion ◽  
Motion Capture System

scholarly journals Comparison of Lower Limb Segments Kinematics in a Taekwondo Kick. An Approach to the Proximal to Distal Motion

2015 ◽  
Vol 47 (1) ◽  
pp. 41-49 ◽  
Author(s):  
Isaac Estevan ◽  
Coral Falco ◽  
Julia Freedman Silvernail ◽  
Daniel Jandacka
Keyword(s):  
Motion Capture ◽  
Lower Limb ◽  
Kinematic Analysis ◽  
Peak Velocity ◽  
Frontal Plane ◽  
Distal Segment ◽  
Proximal Segment ◽  
Camera Motion ◽  
Motion Capture System ◽  
Sequential Movement

AbstractIn taekwondo, there is a lack of consensus about how the kick sequence occurs. The aim of this study was to analyse the peak velocity (resultant and value in each plane) of lower limb segments (thigh, shank and foot), and the time to reach this peak velocity in the kicking lower limb during the execution of the roundhouse kick technique. Ten experienced taekwondo athletes (five males and five females; mean age of 25.3 ±5.1 years; mean experience of 12.9 ±5.3 years) participated voluntarily in this study performing consecutive kicking trials to a target located at their sternum height. Measurements for the kinematic analysis were performed using two 3D force plates and an eight camera motion capture system. The results showed that the proximal segment reached a lower peak velocity (resultant and in each plane) than distal segments (except the peak velocity in the frontal plane where the thigh and shank presented similar values), with the distal segment taking the longest to reach this peak velocity (p < 0.01). Also, at the instant every segment reached the peak velocity, the velocity of the distal segment was higher than the proximal one (p < 0.01). It provides evidence about the sequential movement of the kicking lower limb segments. In conclusion, during the roundhouse kick in taekwondo inter-segment motion seems to be based on a proximo-distal pattern.

scholarly journals Analysis of Musculoskeletal Disorder Due To Working Postures via Dual Camera Motion Capture System

2018 ◽  
Vol 10 (5) ◽  
Author(s):  
Mohd Zamani Ngali ◽  
◽  
Noratika Budi Jemain ◽  
Chang An Wee ◽  
Mohd Nasrull Abdol Rahman ◽  
...  
Keyword(s):  
Motion Capture ◽  
Musculoskeletal Disorder ◽  
Camera Motion ◽  
Motion Capture System ◽  
Working Postures

scholarly journals The Effects of Barefoot and Barefoot Inspired Footwear Running on Tibiofemoral Kinetics

2016 ◽  
Vol 17 (3) ◽  
Author(s):  
Jonathan Sinclair
Keyword(s):  
Motion Capture ◽  
Repeated Measures ◽  
Camera Motion ◽  
Motion Capture System ◽  
Lower Body ◽  
Barefoot Running ◽  
Repeated Measures Anova ◽  
Increased Risk ◽  
Load Rate ◽  
Force Peak

AbstractThe current investigation aimed to examine the effects of running barefoot and in conventional and barefoot inspired footwear on the loads borne by the tibiofemoral joint.Fifteen male participants ran at 4.0 m/s over a force platform whilst running barefoot, in barefoot inspired footwear and also in conventional footwear. Lower body kinematics were collected using an eight-camera motion capture system. Peak tibiofemoral force, peak tibiofemoral stress, and tibiofemoral load rate were extracted and compared between footwear via one-way repeated measures ANOVA.The results showed that the tibiofemoral instantaneous load rate was significantly lower in conventional footwear (106.63 BW/s) in comparison with barefoot running (173.87 BW/s), Vibram Five Fingers (160.17 BW/s), Merrell (155.32 BW/s), Inov-8 (167.79 BW/s), and Nike Free (144.72 BW/s).This indicates that running barefoot and in barefoot inspired footwear may place runners at increased risk from running-related tibiofemoral pathologies.

scholarly journals Performance of Dual Depth Camera Motion Capture System for Athletes’ Biomechanics Analysis

2017 ◽  
Vol 135 ◽  
pp. 00059
Author(s):  
Wee Chang An ◽  
Mohd Zamani Ngali ◽  
Zulhilmi Kaharuddin ◽  
Siti Badriah Khairu Razak
Keyword(s):  
Motion Capture ◽  
Depth Camera ◽  
Camera Motion ◽  
Motion Capture System

scholarly journals Dynamic movements facilitate extreme gap crossing in flying snakes

2021 ◽  
Author(s):  
Michelle Graham ◽  
John J. Socha
Keyword(s):  
Motion Capture ◽  
The Body ◽  
Camera Motion ◽  
Gap Size ◽  
Motion Capture System ◽  
Dynamic Behaviors ◽  
High Acceleration ◽  
Gap Crossing

In arboreal habitats, direct routes between two locations can be impeded by gaps in the vegetation. Arboreal animals typically use dynamic movements, such as jumping, to navigate these gaps if the distance between supports exceeds their reaching ability. In contrast, most snakes only use the cantilever crawl to cross gaps. This behavior imposes large torques on the animal, inhibiting their gap-crossing capabilities. Flying snakes (Chrysopelea), however, are known to use dynamic behaviors in a different arboreal context: they use a high-acceleration jump to initiate glides. We hypothesize that flying snakes also use jumping take-off behaviors to cross gaps, allowing them to cross larger distances. To test this hypothesis, we used a six-camera motion-capture system to investigate the effect of gap size on crossing behavior in Chrysopelea paradisi, and analyzed the associated kinematics and torque requirements. We found that C. paradisi typically uses cantilevering for small gaps (&lt; 47.5% SVL). Above this distance, C. paradisi were more likely to use dynamic movements than cantilevers, either arching upward or employing a below-branch loop of the body. These dynamic movements extended the range of horizontal crossing to ∼120% SVL. The behaviors used for the largest gaps were kinematically similar to the J-loop jumps used in gliding, and involved smaller torques than the cantilevers. These data suggest that the ability to jump allows flying snakes to access greater resources in the arboreal environment, and supports the broader hypothesis that arboreal animals jump across gaps only when reaching is not mechanically possible.

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