Input/Output For User-Computer Interaction TRIZ Cases

Multiple sensor modalities detect directional human-device links in crowded settings, enabling reliable action initiation among many entities.

Inertial sensing selects motion-relevant image sets in smart glasses, cutting continuous vision processing load and power use.

Automatic eye-location sensing and ray casting turn 2D medical image data into viewable 3D images without complex manual steps.

When one display is placed over another, focus-aware input routing cuts extra UI steps, speeds transitions, and reduces power use.

Multimodal AI persona design uses facial cues, audio, and predictive caching to cut latency and make conversations more natural.

Blending new control points with continuous acoustic field modeling reduces popping noise and preserves accurate mid-air haptic feedback.

Multiple fixed light emitters and a photosensor detect object inclination and line of sight without complex MEMS mirror scanning.

Grip-position segmentation and virtual guidance let wearable AR control connected devices without complex gesture recognition.

A shared magnetic circuit combines sound output and haptic vibration in AR/VR glasses, saving space and cost while expanding reminder options.

Multiple HMD, controller, and AV connections let one game console support immersive multi-user AR/VR play without separate systems.

Hand overlap and wrist rotation let users select and rotate virtual objects in AR without physical input hardware or breaking focus.

AI predicts avatar motives, paths, and viewing angles to hide sensitive virtual objects while reducing monitoring load in distributed worlds.

Distributed piezoelectric actuators detect press location and deliver targeted haptic feedback for more uniform trackpad input.

Independent component analysis separates eye blink artifacts from EMG inner speech signals, improving detection accuracy and private communication.

Real-world events are detected, scaled, and merged as AR actors into VR scenes to preserve context and user immersion.

Combining eye data, head pose, and state-based thresholds helps detect gaze shifts, holds, and loss events with low latency.

Three-stage fluid simulation cuts computing demand for realistic ink painting effects on mobile terminals while improving user accessibility.

A view-region stream plus low-resolution background video cuts 360 bandwidth demand while keeping panoramic playback smooth during switches.

Metadata is split into subdivisions and estimated from viewport, head pose, and eye tracking to cut image-processing load while preserving quality.

Separate pixel-value and panel light-emission control preserves HDR image quality while reducing glare and visual health risks in head-mounted displays.

Eye tracking shifts HMD images to a peripheral waveguide and tints the opposite lens to cut distraction and eye strain.

Real-time eye gaze and position tracking applies color masks to correct see-through display brightness and color non-uniformity.

Deformable wearable circuits generate motion-linked electrical data, while rule-based storage separates confidential records for HIPAA-compliant handling.

Motion-sensing wristbands turn hand gestures into game commands with haptic feedback and clear device selection for accurate multi-device play.

Recorded gaze data preserves viewpoint continuity when VR video pauses for pass-through, preventing missed content on resume.

Pixel duplication, grouped gate scan upscaling, CAC, and Mura compensation reduce select-region distortion in foveated displays.

Cornea-to-eye center comparison flags excessive contact lens shift during HMD enrollment, enabling compensation for accurate gaze tracking.

EEG and EMG activation sequences are calibrated and translated into computer commands while sleep-stage signal analysis helps detect mild TBI.

Eyelid motion and gaze indicators replace hand gestures in XR, making object selection and information retrieval more reliable and convenient.

Presenting modulation to one eye and static imagery to the other preserves EEG-based focus detection while reducing flicker visibility and discomfort.

Wearable sensors capture hand motion to reposition apps in glasses-free 3D displays without external vision hardware.

Buffered gesture extraction lets XR applications respond quickly while preserving recognition accuracy and limiting memory use.

Segmented optic regions independently adjust focal vergence for real and displayed content to improve depth perception and reduce diplopia.

Interface modules split shared and personal AR spaces, enabling selective signal exchange and access control with lower processing burden.

A rotatable, slidable sleeve over a non-circular support cuts friction and hand strain while enabling precise cursor input.

Sensor-based posture detection shifts the VR field of view to cue posture correction without interruptive alerts or breaking immersion.

Spatial haptic zones suppress feedback until user posture is stable, reducing startling and improving VR operability.

Multiple VR subsystems are synchronized through a central computer to deliver unified full-dive immersion for crisis simulation and training.

Multi-modal AR/VR interfaces cut input burden and power use while enabling real-time 3D content sharing between co-located users.

Sensor data and AR guidance help users replicate makeup looks accurately while reducing repeated video viewing and trial-and-error.

Filters and smooths involuntary controller or keyboard inputs to improve content control accuracy and reduce hardware damage.

A 3D mesh with logical cell addresses enables precise user tracking and location-linked AR content in large public spaces.

A rigid removable ring cover locks onto the wearable to reduce signal noise, prevent surface damage, and support personalized styling.

Hand-triggered real-scene windows let VR users check phones or drink water without fully leaving the virtual scene.

A disable-period screen capture pause keeps external display sharing smooth while protecting locked-screen privacy and avoiding wake-up flicker.

Deep-learning audio splitting and energy weighting generate vibration signals that better match slow rhythms, cadences, and music dynamics.

Lighting can distort occipital EEG signals; this case adapts signal processing to the current light scene to reduce false control triggers.

Gaze tracking and optical symbol recognition let a head-mounted wearable target the right paired screen and suppress conflicting inputs.

Gaze selection plus voice, gesture, or brain-wave input speeds icon activation while avoiding shared-button contamination in elevators and doors.

Real-time AI defect detection, AR instructions, and haptic feedback let remote experts guide welding trainees without losing feedback quality.