Input/Output For User-Computer Interaction TRIZ Cases

Mobile aerial sensors maintain line of sight to occluded body parts, improving VR body tracking and synchronizing wearable physical feedback.

Sliding adapter elements align the simulator steering wheel and axle while making electrical contact in one motion, removing loose cords and extra steps.

Multiple conductive textile layers compare resistance changes to improve pressure position sensing and trigger IoT device commands.

Redundant current-driver crossfiring suppresses mismatch error, residual charge, and noise artifacts for more precise neural recording and stimulation.

Folding angle and motion sensing let a foldable device adjust sound, image, and haptic alerts to match its current form.

Sound analysis, pitch shifting, and chair-user calibration turn XR audio into stronger low-frequency vibration that preserves intended tactile presence.

Body-lean navigation replaces handheld locomotion controls in VR, improving intuitive movement and reducing vection-based motion sickness.

Mobile UAV and ground sensors expand field of view, while audio and haptic feedback give visually impaired users real-time navigation cues.

Augmented reality overlays machine tool settings onto the real workspace, cutting gaze switching, operator errors, waste, and safety risks.

Deformable interfaces and temperature units work together to convey touch and heat changes from another environment for more immersive feedback.

Feedback compares commanded and detected platform motion, then adjusts problematic VR segments to reduce sickness without broadly degrading motion fidelity.

A steerable mirror or lens tracks gaze to keep high resolution at the fovea while cutting panel load and data rate across a wide field of view.

A home hub analyzes user identity and preference data to coordinate water appliances with personalized settings and more efficient operation.

Somatosensory UAV control converts gestures or lip movements into flight commands while live onboard images make piloting easier for beginners.

Automatic flight-event control moves the drone to preset positions and camera angles, reducing setup time and preserving battery for capture.

Microphones and acoustic emitters cancel distracting workstation noise while preserving compact layouts and multi-monitor visual real estate.

Audio-triggered haptic signals are combined with user input and stored patterns to reduce unwanted vibration and improve tactile realism.

Air-projected call icons and gesture sensing replace elevator button contact, reducing cross-infection risk in shared spaces.

LIDAR, radar, and camera fusion builds real-time 3D environment models to improve flying vehicle navigation and obstacle avoidance.

Removable AR welding eyewear turns sensor data into live weld metrics and audio cues, helping operators adjust technique and improve weld quality.

Two-stage gesture verification uses activation regions before control motions to cut false triggers and improve terminal control accuracy.

A sliding belt and locking structure stabilizes a hand-worn controller, enabling secure one-handed operation across different hand sizes.

Multi-sensor robot guidance combines optical, ultrasonic, and GPS sensing with haptic feedback to help vision-impaired users avoid obstacles.

Image recognition identifies a device and verifies its remote-control protocol, enabling AR control without preloaded models or server relays.

Sensor-tracked torso and foot motion with inverse kinematics keeps virtual walking aligned with physical movement to reduce VR dizziness.

Wearable AR overlays target positions and machining contours to speed manual CNC setup, improve placement accuracy, and avoid clamp collisions.

Periodic heartbeat signals help locate welding assets across large work areas, improving allocation, usage visibility, and maintenance scheduling.

Manual VR layout and motion inputs are translated into control code, configurations, and visualizations to reduce automation integration work.

Sensor, operator, and historical data are combined to balance mobile machine productivity, fuel economy, and control simplicity.

A deformable membrane and internal sensor turn surface deformation into force-sensitive gestures, replacing fixed buttons with flexible control.

Map-linked vehicle bots turn fleet telemetry into intuitive graphics, helping one operator monitor and remotely control multiple autonomous vehicles.

An electric motor applies a controlled bias that smooths rough, coggy manual feedback without moving the control interface on its own.

When one robot misses visual data, shared time- and position-linked images from other robots keep requested scenes reproducible.

Real-time sensor overlays in a removable welding helmet display improve weld monitoring, operator feedback, and training visibility.

Adjustable mount, base, and linkage geometry enable precise haptic motion tracking with quick tool swapping and real-time reconfiguration.

Haptic feedback and dynamic touch-point initialization make mobile virtual joysticks more precise for safe remote control of construction equipment.

A single processing relay acquires sensor and accessory data, displays it locally, and removes the need for a separate host computer.

Immersive VR remote control lets operators take over autonomous vehicles in unknown or hazardous environments using natural vehicle-like inputs.

Motion-captured gestures mapped to regions let users select and control lighting or HVAC loads without multiple remotes or fixed interfaces.

Unique visual codes shown on similar smart wearables let users identify, pair, and unpair the intended device without confusion.

Motion-capture gesture recognition replaces multiple remotes by linking user gestures and scenes to precise electrical load control.

A one-hand controller combines multiple motion inputs and directional haptic alerts to reduce coordination errors in target object control.

Angular velocity control lets a gimbal follow somatosensory motion faster by using geodetic IMU data to improve response and control efficiency.

Hand gestures are translated into wireless welding commands, cutting return trips to controls and eliminating cable clutter.

Below-400°F regulated heating avoids burnt taste and toxic by-products while delivering smoother, cooler inhalable vapor.

Context-based buttons and a compact control layout keep image functions within reach, reducing menu navigation and radiologist distraction.

Machine learning decodes neural signals and generates stimulus feedback for more precise closed-loop control of bodily functions.

Source separation isolates stable neuromuscular signals from surface sensors, enabling classifier-based identification of associated biological structures.