Gymnastic Exercising TRIZ Cases

Infrared motion capture records shaft position data to calculate dynamic behavioral characteristics, resolving fitting accuracy versus process time trade-offs.

A simulation system processes live sensor data to score user decisions against historical outcomes.

Radio-based positioning defines search spaces for optical cameras, resolving data assignment errors while maintaining high measurement precision.

Segmented shell segments expand via a state-changing mechanism to stabilize the rectum, eliminating inflation tubes required by prior art.

Force-sensing martial arts armour detects strike location and magnitude for objective electronic scoring.

A system divides video workout programs into segments and combines them based on user criteria to generate custom content.

Automated sensors capture motion data for analysis by software that delivers corrective feedback on form, reducing reliance on professional trainers.

A data-collecting play object uses accelerometer and gyroscope units to capture motion metrics.

A golf club selection method calculates a recommended shaft flex point rate using measured face angle data from a reference swing.

Software overlays professional golfer video and swing data onto virtual courses, enabling amateurs to compare their ball paths against expert benchmarks.

A controller segments physical activity using sensor fusion and machine learning to identify exercise types.

Machine learning system extracts anatomical landmarks from digital video to generate quantitative gait metrics for running form evaluation.

A wireless pitch evaluation system tracks ball flight and compares actual location against intended targets to determine command accuracy.

A camera captures rim images to identify made shots via machine learning, replacing mechanical flappers prone to jamming and wear.

A position management system coordinates location data transmission between mobile and fixed communication apparatuses.

Angular velocity threshold detection extracts swing candidates without manual timing, reducing calculation load while maintaining measurement precision.

A sit-up detection system combines laser distance, tilt, and gesture sensors to count repetitions accurately.

A handheld controller mounts on the forearm to spatially locate real-world objects within a virtual reality environment.

Electronic display elements integrate directly into sports nets to show game events without separate screens.

A portable arrangement measures the angle between R and T wave vectors from multidimensional electrocardiographic data to determine exertion levels.

Automated system calculates relative player performance using position data streams.

Fabric sensors measure weight lifted and cadence to generate personalized training recommendations via a microprocessor.

Calculates scoring efficiency by determining the ratio of runs scored from scoring position to total base runners.

Inertial sensor calculates golf club movement trajectory and shaft plane angle for precise swing evaluation.

Multi-camera system captures ball trajectory and exit velocity to resolve the trade-off between detection precision and outcome information.

A ball passing robot uses a BP neural network to classify human body postures for autonomous movement.

A computer-implemented system uses a generative adversarial network to predict future positions of sports players and game objects from real-time sensor data.

An AI trainer system captures user movement data to generate real-time performance feedback.

Segmented gravity slides with independent locking mechanisms resolve the trade-off between dispensing reliability and selective club release capability.

Automated armatures with variable force control resolve the trade-off between stretching effectiveness and injury risk for mobility-limited patients.

LED targets and sensors enhance reaction time in confined spaces.

A nested cover within a rear void redistributes mass to adjust the center of gravity while absorbing impact sound.

A shoe-mounted sensor detects exercise data to identify activity types and output relevant footwear information.

A portable pelvic floor training device uses a rigid housing and beam to detect muscle activity.

Segmented sensor zones on a golf practice mat analyze club head trajectory to resolve the trade-off between detailed swing analysis and device complexity.

A swing training device uses a moving light source to simulate pitched ball motion for visual tracking practice.

A modular training dummy features resettable breakable joints and soft tissue targets that simulate human anatomy for realistic force feedback.

A golf simulator combines optical sensors for velocity with an image input unit to calculate spin rate directly.

Disposable probe with inflatable balloon reduces device size and cost while maintaining measurement precision.

Dual shafts rotate pedals to compel simultaneous limb movement, resolving the contradiction between workout effectiveness and device complexity.

A wearable vision-control assembly uses opaque peripheral blocking to restrict the field of view and force central visual focus.

A golf club head embeds an inertial motion unit with a neural network to resolve unreliable tape-based impact location determination.

Segmenting processing across a ball-mounted sensor, portable device, and remote server resolves weight constraints while ensuring accurate performance feedback.

A mechanized knee traction device applies axial tension to stretch the joint and stimulate tissue growth.

A step counting device processes triaxial acceleration signals through high-pass filtering and pitch detection to isolate fundamental motion frequencies.

Capacitive sensors replace bulky mechanical units to detect multi-axis forces, solving impact durability and battery life constraints.

Automated motion graphics break down exercise routines into subroutines to aid memorization.

Infrared cameras record marker positions on a golf club shaft during swings to calculate dynamic behavioral characteristics.