Gymnastic Exercising TRIZ Cases

Automated interface transitions reduce user cognitive burden and conserve battery power during exercise sessions.

A pulse wave detection device acquires player images and sets specific skin regions to extract physiological signals for non-contact monitoring.

A putting stroke training system uses an alignment sensor to guide golfers along a preferred path.

A baseball rating system calculates player performance using machine learning to generate objective rankings.

Rotating drum guides tethered golf ball while laser beams project visual flight paths for swing training.

Infrared motion capture records golf club shaft location data during swings to calculate dynamic behavioral characteristics.

A processing system extracts periodicity features from sensor signals to initiate pedestrian velocity estimation.

Segmented sensors transmit metrics to an intermediary processor that calculates swing mechanics while reducing power consumption.

Dynamic screen time limits adjust based on fitness metrics, reducing sedentary behavior while maintaining device usability.

A satellite positioning receiver extracts local motion data from body-mounted coordinates to determine precise limb trajectories.

A flexible counter bearing decouples residual friction from a force sensor to improve measurement precision.

Embedded color-changing materials detect ball impacts on tennis courts, resolving line call accuracy issues without complex camera systems.

A Kinect-based training system extracts 25 joint coordinates to recognize badminton movements through feature similarity analysis.

Segmented silicone supports maintain occlusal alignment while permitting natural jaw movement.

A vehicle exercise assistance device selects physical exercises based on real-time driving context data.

A therapeutic device links extremity traction to the spine via a cable circuit, resolving limited treatment efficacy from disjointed body part actions.

A marking sheet with alignment features encircles a baseball bat barrel to identify the minimal vibration region.

A GUI display device shows wrist cock holding and releasing strength graphics during a golf swing.

An exercise computer selectively displays multiple layouts based on user zoom levels to customize data field visibility.

A game apparatus detects player motion using light reflection to generate accurate signals without embedded sensors.

Wireless garments compare athlete distances via mobile phones, enabling remote competition without shared facilities.

Rotating exercise targets absorb impact via spring segments while adjustable resistance prevents wrist injuries during high-speed strikes.

Portable training device uses time of flight sensors and addressable RGB LEDs to guide user exercise movements.

An automated RF locating system replaces manual data collection to resolve visualization delay and inaccuracy, providing precise impact analysis.

Optical camera tracks facial color variations to measure heart rate without electrodes, eliminating disease transmission risks.

Multi-sensor detection eliminates manual data entry time loss while maintaining measurement precision for real-time swing analysis.

Wireless wrist and net trackers detect shot attempts and made shots automatically, eliminating manual recording during drills.

Swimming goggles with a backstroke viewing window and motion sensor provide real-time hang time feedback.

A segmented detection system combines 3D object recognition with high-speed imaging to locate ball impacts on a playing field.

A running analysis system classifies motion data using cluster methods.

Transforming sensor data into a global frame decouples biomechanical feature detection from physical placement, resolving accuracy versus comfort trade-offs.

Integrated sensors and cameras in athletic wear capture physiological data for real-time analysis.

A mobile device uses motion capture sensors to measure user dimensions and range of motion for equipment fitting.

A swing analysis device calculates torque data using an inertial sensor and head speed coordination system to determine force control metrics.

Internal magnetometers measure spin and impact location within the ball, eliminating expensive external tracking devices.

Optical scanning captures club settings to correlate swing performance with specific configurations, resolving manual tracking bottlenecks.

An interactive boxing trainer embeds an accelerometer in the striking head to detect punch acceleration and calculate force direction.

A batting training aid uses an adjustable swing plane and integrated sensors to measure bat speed during practice sessions.

A golf aid system with a heads-up display and ball tracking processor computes shot statistics.

A wearable motion sensor transmits extracted waveform characteristics to an external device for targeted vibration alerts.

Periodic trigger-based feedback reduces information processing load while sustaining user motivation.

Segmented player tracking improves analysis granularity without increasing device complexity.

A load specifying method analyzes time-series waveform data to determine optimal training loads for muscle strength devices.

A bicycle trainer holding fixture uses a cam lever to secure the wheel axle in a non-coaxial orientation for rapid mounting.

An exercise assistance device integrates biosensors to acquire biological information for dynamic menu setting.

A foot exercising device uses sensors to measure pressure on the calf and sole.

Integrating camera, processor, and display into one housing eliminates complex setup requirements for accurate kinematic analysis.

A belt-mounted tether with a sliding connector module enables solo ball handling drills without entanglement or tangling issues.