Classification of Aerial Acrobatics in Elite Half-Pipe Snowboarding Using Body Mounted Inertial Sensors (P237)

Harding, Jason; Mackintosh, Colin; Hahn, Allan G.; James, Daniel

doi:10.1007/978-2-287-09413-2_55

“…Cross-country skiing specific reliability was confirmed using two units worn concurrently by an athlete while rollerskiing. Calibration of the accelerometer and gyroscope was performed using the same method as described by Harding et al [15]. The positioning configuration of the accelerometer is shown in Figure 1(a) and described in more detail in Section 2.5.…”

Section: Methodsmentioning

confidence: 99%

“…Micro-sensors have been used for performance analysis in a number of sports, including Australian rules football [10], rugby [11], soccer [12], swimming [13], kayaking [14] and snowboarding [15]. Fulton et al [16] used inertial sensors to quantify kick-count and kick-rates in swimming through the use of algorithms identifying each movement cycle.…”

Section: Introductionmentioning

confidence: 99%

“…Fulton et al [16] used inertial sensors to quantify kick-count and kick-rates in swimming through the use of algorithms identifying each movement cycle. Similarly, Harding et al [15] used inertial sensors to classify different aerial aerobatics in snowboarding, and Janssen and Sachlikidis [14] used inertial sensors and GPS to measure stroke rates, velocity and accelerations in kayaking. In the team sports mentioned above accelerometers and GPS have been used to quantify performance loads, measuring distances travelled and the number and intensity of accelerations during matches [10–12].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Identification of Cross-Country Skiing Movement Patterns Using Micro-Sensors

Marsland

¹

,

Lyons

²

,

Anson

³

et al. 2012

Sensors

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This study investigated the potential of micro-sensors for use in the identification of the main movement patterns used in cross-country skiing. Data were collected from four elite international and four Australian athletes in Europe and in Australia using a MinimaxX™ unit containing accelerometer, gyroscope and GPS sensors. Athletes performed four skating techniques and three classical techniques on snow at moderate velocity. Data from a single micro-sensor unit positioned in the centre of the upper back was sufficient to visually identify cyclical movement patterns for each technique. The general patterns for each technique were identified clearly across all athletes while at the same time distinctive characteristics for individual athletes were observed. Differences in speed, snow condition and gradient of terrain were not controlled in this study and these factors could have an effect on the data patterns. Development of algorithms to process the micro-sensor data into kinematic measurements would provide coaches and scientists with a valuable performance analysis tool. Further research is needed to develop such algorithms and to determine whether the patterns are consistent across a range of different speeds, snow conditions and terrain, and for skiers of differing ability.

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“…As is the case with air time, there is evidence that promotes the degree of rotation associated with each aerial acrobatic maneuver as an important component in successful halfpipe snowboarding [1,2]. We recently showed that it is possible to automatically and reliably classify aerial acrobatics into sport-specific rotational groups by processing rate gyroscope data using integration by summation to provide a composite rotational parameter termed ''air angle'' (AA) [4]. It is believed that for a given air time, an athlete that accumulates more degree of rotation will score better in competition, provided the aerial acrobatic maneuvers have been executed well.…”

Section: Automated Objectivity: Degree Of Rotationmentioning

confidence: 99%

“…We recently showed that there is a strong relationship (r 5 0.5570.26, P 5 0.002, r 2 5 0.30, SEE 5 4.63, n 5 30) between total degree of rotation alone and overall competition score during two World Cup finals in Bardonecchia, Italy in 2005 [1]. The absence of overlapping AA measurement limits affords some flexibility outside the statistically-derived likelihoods while still ensuring reliable classification of aerial acrobatics [4]. Similar to the case with air time, there is reason to believe that the automatic calculation of degree of rotation may prove beneficial in assisting elitelevel coaching and competition-judging protocols by allowing the individuals in charge of assessing performance to focus on the more stylistic components of the sport.…”

Section: Automated Objectivity: Degree Of Rotationmentioning

confidence: 99%

Automated scoring for elite half‐pipe snowboard competition: Important sporting development or techno distraction?

Harding

¹

,

Mackintosh²,

Martin

³

et al. 2008

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We previously reported a strong relationship between video-based objective data (air time and degree of rotation) and subjectively-judged scores awarded during elite half-pipe snowboard competitions. Advancements in sport-monitoring technologies now provide the capacity to accurately and automatically quantify this objective information. This may assist current subjective coaching and competition judging protocols provided the integration process imparts a large element of control to key players within the sport. We therefore recently hosted an invitational half-pipe snowboard competition (2007 Australian Institute of Sport Micro-Tech Pipe Challenge) designed to evaluate whether the snowboarding community would embrace a competition where results were in part determined by automated objectivity. We explored the practical, logistical, and technical challenges associated with conducting such an event and evaluated the relationship between subjective judging and results predicted from objective information to see if prior research had ecological validity. Ten elite, male half-pipe snowboarders were instrumented with inertial sensors throughout this competition. A prediction equation using previously-established weightings of average air time and average degree of rotation accounted for 74 per cent of the shared variance in subjectively-judged scores awarded during this competition. Although our predictions of overall scores and rankings were good, 26 per cent of the total variance was still unexplained. This should not be considered a weakness of this approach, but a strength, as the subjective components of style and execution should never be removed from the sport. The future of half-pipe snowboarding, however, may be best guided a judging protocol that incorporates both objective and subjective criteria.

show abstract

Automated scoring for elite half-pipe snowboard competition: important sporting development or techno distraction?

Harding

¹

,

Mackintosh²,

Martin

³

et al. 2009

View full text Add to dashboard Cite

We previously reported a strong relationship between video-based objective data (air time and degree of rotation) and subjectively-judged scores awarded during elite half-pipe snowboard competitions. Advancements in sport-monitoring technologies now provide the capacity to accurately and automatically quantify this objective information. This may assist current subjective coaching and competition judging protocols provided the integration process imparts a large element of control to key players within the sport. We therefore recently hosted an invitational half-pipe snowboard competition (2007 Australian Institute of Sport Micro-Tech Pipe Challenge) designed to evaluate whether the snowboarding community would embrace a competition where results were in part determined by automated objectivity. We explored the practical, logistical, and technical challenges associated with conducting such an event and evaluated the relationship between subjective judging and results predicted from objective information to see if prior research had ecological validity. Ten elite, male half-pipe snowboarders were instrumented with inertial sensors throughout this competition. A prediction equation using previously-established weightings of average air time and average degree of rotation accounted for 74 per cent of the shared variance in subjectively-judged scores awarded during this competition. Although our predictions of overall scores and rankings were good, 26 per cent of the total variance was still unexplained. This should not be considered a weakness of this approach, but a strength, as the subjective components of style and execution should never be removed from the sport. The future of half-pipe snowboarding, however, may be best guided a judging protocol that incorporates both objective and subjective criteria.

show abstract

Classification of Aerial Acrobatics in Elite Half-Pipe Snowboarding Using Body Mounted Inertial Sensors (P237)

Cited by 24 publications

References 5 publications

Identification of Cross-Country Skiing Movement Patterns Using Micro-Sensors

Identification of Cross-Country Skiing Movement Patterns Using Micro-Sensors

Automated scoring for elite half‐pipe snowboard competition: Important sporting development or techno distraction?

Automated scoring for elite half-pipe snowboard competition: important sporting development or techno distraction?

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