Input/Output For User-Computer Interaction TRIZ Cases

Dynamic VR captions use gaze and interest detection to keep information visible without adding visual clutter or breaking immersion.

Wrist-worn biopotential and location sensing enables pointing gestures for intuitive machine control when displays or hands-free input are limited.

Movement-variance tracking ends camera gesture recognition with on-screen feedback, reducing unintended function activation in electronic devices.

Stored motion and sensor data keep virtual objects stable in recorded video clips, even through visual interruptions and changing conditions.

Depth sensing and gesture detection drive real-time AR projection onto physical objects, improving context-aware interaction in shared spaces.

Quantized pose grids let AR SLAM prune redundant keyframes, cutting memory and compute while preserving map completeness and consistency.

When gaze detection becomes unreliable, the HMD switches video control to head orientation to preserve immersion and stable interaction.

Different display surfaces and eye-position tracking let one holographic screen show synchronized virtual objects with user-specific views.

Eye-tracking links user attention to 3D interface changes, cutting manual inputs, lowering cognitive load, and saving battery power.

A deep blue dark source lowers eye photosensitivity so AR objects stay visible outdoors at lower brightness and power.

Parental gestures trigger temporary content blocking, skipping, muting, or video removal to prevent minors from accidental exposure.

Gesture sensing and auditory feedback let users control ear-worn devices quickly without visual attention or uncomfortable button presses.

Facial feature coordinates steer a vehicle display toward each user, keeping images visible across seating positions and head movement.

Location-aware XR rules switch which virtual screens and content appear as users move, preserving large mobile workspaces and privacy.

Sensor-based alerts guide AR and VR device positioning with clearer visual, haptic, and audio feedback while reducing user effort and power use.

Encrypted links between wearable neuromuscular sensors and the controller block unauthorized access while preserving signal integrity.

Audio feedback tied to screen touch regions helps visually impaired users identify functions faster without sequential screen-reader traversal.

Gaze, pupil, and task-context signals reveal low pilot confidence, triggering timely supplemental data to reduce verification time and workload.

Virtual attraction and pinch-based force modeling turn tracked 3D hand motions into more precise, intuitive machine control.

Blending XR image streams from multiple applications with priority, alpha, depth, and reprojection reduces display conflicts on XR devices.

Electro-quasistatic body coupling replaces wired and RF links to cut wearable power loss while keeping data transfer localized and secure.

Anatomical tracking on a display creates immersive 3D viewing without VR headsets, reducing comfort, safety, and disease-sharing issues.

Adaptive visual, audio, and tactile reminders combine paper planning with biofeedback-driven task guidance to improve schedule adherence.

Placing a digital assistant outside the current CGR view cuts distraction, reduces input steps, and helps conserve device power.

Housing contact and release sensing lets one button trigger different functions, expanding input options without adding more physical keys.

Dual cameras, a microphone, and control circuits detect speakers and gestures to render real-time text and effects on a transparent display.

A phased piezocomposite ultrasonic array focuses energy at the skin to deliver precise tactile feedback without bulky anchored actuators.

Line-of-sight state detection lets the camera handle undetermined gaze, adjust focus behavior, and save power during idle use.

Single-input controls switch immersive and non-immersive 3D interfaces, cutting user effort, errors, and power use in AR/VR navigation.

Camera-based gaze detection activates assistants and selects external devices without touch or voice, reducing effort and saving battery power.

Muscle sensors in eyewear detect facial muscle signals for private, accurate expression input and hands-free actions like image capture.

Coarse image sampling and statistical segmentation isolate spaced 2D markers for fast, reliable decoding on low-power optical pens.

Maps gaze, saccade, pupil, and workload data by region to reveal user behavior beyond basic eye-tracking heat maps.

Combining EOG eye signals with IMU head tracking helps distinguish intentional gestures from false positives while keeping wearable control fast and low power.

Coordinated depth, ToF, and IMU sensing detects AR display deformation at runtime to correct sensor misalignment and reduce binocular discomfort.

Virtual position markers and crew avatars help aircraft maintenance teams track locations and contact remote experts in real time.

Low-power context sensing gates radar gesture recognition when conditions are unreliable, cutting false inputs and unnecessary power use.

A virtual object displays two material appearance models side by side, improving gonioapparent color and texture matching without physical samples.

Embedded EEG electrodes in a deformable display isolator improve comfortable brain-signal capture and adapt VR content to user state.

Dynamic face-orientation detection shortens brightness recovery delay while limiting power use through state-based detection cycles.

By correlating integrated head tracking with remote body tracking, the display locates off-screen limbs without repeated calibration or added latency.

Breath-triggered particle visuals reduce complex AR/VR inputs, improving feedback responsiveness while helping conserve device power.

Actuators on props deliver timed haptic cues so motion capture actors can stay synchronized with scripted scene events.

Dynamic context detection lets virtual objects switch between 2D and 3D forms by location, improving CGR interaction and immersion.

Anchor devices and spatial mapping let wearable AR separate vehicle motion from user motion for stable, accurate in-vehicle content alignment.

Sensor-driven tension adjustment stabilizes head-mounted optics against motion while limiting facial pressure and discomfort.

Sensor and camera fusion adjusts immersion level from user posture, nearby objects, and virtual interaction to avoid manual mode switching.

Gesture-based state restoration returns users from an app to prior search results without re-entering queries, reducing navigation time and power use.

Context-aware XR app suggestions, progressive component loading, and permission ranking reduce search time and visual clutter.

A rotating ring interface uses notch contact and sensor changes to add compact, multi-function control without enlarging the wearable.