Assessment of technical parameters and skills training to inform a simulation-based training program for semi-automated robotic colonoscopy

Kopczynska, Maja; Smits, Stephanie; Hopps, Rebecca; Ramaraj, Rajeswari; Warren, Neil; Goddard, Stuart; Ye, Xujiong; Dolwani, Sunil

doi:10.1055/a-0774-4554

Cited by 2 publications

(2 citation statements)

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“…The observation vector m − b of the geomagnetic field is the component under b. To obtain the geomagnetic field data described in equation (10), it is necessary to convert m − b to the n system:…”

Section: Quaternion Pose Solution Methods Based Onmentioning

confidence: 99%

“…Overall System Structure. The designed sensing equipment is worn on the assessors, and the assessors are brought into the virtual basketball game through the sensing drive [10]; using the ability of the sensor to capture information, the pose and action of the referee are photographed and collected, and the collected information is connected to the database for storage through the converter. The collected information is analyzed based on the quaternion pose solution method of the complementary filter and compared with the standard evaluation information by the comparator [11,12].…”

Section: Design Of Basketball Referee Training Andmentioning

confidence: 99%

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Intelligent System for Training and Assessment of Basketball Referee in Sports Event Using Intelligent Sensor

Wang

Ren

Yang

et al. 2021

Wireless Communications and Mobile Computing

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Aiming at the problem of the fairness of the judgment results in the traditional basketball referee training and evaluation process affected by external factors, an intelligent system for training and assessment of basketball referees in sports events based on intelligent sensors is proposed. We collect the judged poses of basketball referees by wearing intelligent sensor devices, store the collected information in the database using the converter, and analyze the pose data with the quaternion pose solution method based on complementary filters. According to the comparator, the analysis result is compared with the standard judgment information, and the action is judged whether the action conforms to the basketball judgment rules of the sports event. The judge’s action pose score is evaluated according to the judgment result, and the training assessment result is outputted. The results show that the system can clearly simulate the acceleration and pose angle data of the referee’s complex actions, the recognition rate of various basketball penalty poses is high, and the error of the pitch, yaw, and roll pose calculations is small. The response time of this system is 4 ms, when the number of requests sent by the client is 200 which is unanimously approved by the referees.

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Section: Quaternion Pose Solution Methods Based Onmentioning

confidence: 99%

Section: Design Of Basketball Referee Training Andmentioning

confidence: 99%