Input/Output For User-Computer Interaction TRIZ Cases

Fixed panel frequencies weaken low-frequency feedback; a regulation structure tunes substrate resonance toward the 400–600 Hz tactile range.

Camera-tracked hand gestures map commands onto video overlays, enabling direct collaborative drawing without separate tactile input devices.

Business negotiations may expose unwanted symptoms when avatars mirror users uniformly; context-based control adjusts facial-expression reflection.

Multi-direction display screens and a flexible light seal address immersion limits and external-light interference, while adjustable positioning supports user fit.

A surface-aware lens anchors virtual modifications while NFT, SLAM, and gyroscopic tracking preserve rendering through environmental and user-motion disruptions.

Segmented bursts modulate intensity and frequency to expand non-invasive stimulation bandwidth and distinguish sensations through one channel.

Static training models miss anatomical variation; automated imaging, position tracking, and haptic feedback guide manual procedure practice.

Hand gestures position and move a virtual-keyboard cursor, improving key-triggering accuracy without direct screen touch.

Stacking focal-plane whole slide images along the Z-axis creates a navigable AR/VR tissue view for clearer depth assessment.

Sparse inorganic microLEDs provide direct eye illumination through a transparent substrate, while backside attenuation limits unwanted light and preserves line of sight.

User-action analysis identifies sensitive objects and checks access rights before rendering them only for authorized Metaverse users, reducing server load.

Gesture-based app reporting sends an emergency-type identifier to event centers, reducing reliance on phone calls for timely dispatch.

Manual device reconnection makes input focus switching cumbersome; gaze detection transfers focus to the device the user is viewing.

LiDAR spatial mapping paired with hand EMG interaction data improves object classification for mediated reality rendering and control.

An interior camera detects hand gestures for hands-free speaker volume adjustment while exterior imagery helps reduce motion sickness.

Imaging-device operation instructions adjust magnification on wearable monitors, bridging resolution differences for familiar image control.

Pupil dilation patterns identify user interest and intent, enabling hands-free interaction with displayed content.

A scanning mirror redirects eyeball reflections to a detector, enabling compact, lower-power pupil and line-of-sight detection.

Traditional instruction can provide inconsistent feedback; edge-processed finger tracking and haptic cues enable self-guided chord practice.

Gesture artifacts can distort silent-speech EMG signals; staged artifact removal and machine learning improve inner-speech detection for XR control.

An onboard camera detects terminal overlays in view and places received information outside the terminal’s visual area.

Local inertial sensing and Edge AI distinguish complex simultaneous movements while reducing latency and dependence on host performance.

Compressible ring components and movable optical elements adapt to finger changes and rotation, preserving biometric sensor contact and alignment.

Embedding an unread-message identifier in a media interface lets users open message interactions without switching views.

Infrared facial mapping and handheld audio capture generate personalized HRTFs for binaural 3D sound localization without anechoic chambers.

Proximity and IMU inputs identify headset donning, while IMU plus proximity or eye tracking detects doffing and limits false events.

Pre-simulating probabilistic action options reduces repeated user interaction, energy consumption, and carbon footprint in industrial metaverses.

Touch position, speed, and pressure reveal user intention or emotion, letting a touchscreen select reactive video playback types instead of passive viewing.

Depth sensing tracks hand motion before autofocus activation, reducing lens hunting, image degradation, and motor power use.

Row-column electrodes reduce array connections while combined ultrasonic waves create a pressure focus for haptic feedback.

Rearranged data lines bypass display-region holes while limiting hole-edge coupling, signal distortion, and dead space.

Color-encoded head-frame and earth-frame symbology lets pose processors preserve relative placement and prevent overlay collisions in HWDs.

A spring-loaded rotating body and membrane-driven fluid pressure provide variable resistance in a compact, wearable exoskeleton actuator.

Combining accelerometers, EMG electrodes, and body-contact communication enables complex two-hand gesture recognition with lower power demands.

Blink rates and eye or ambient temperatures guide HMD content changes to detect strain early and extend comfortable viewing.

Four independently actuated expansion assemblies let one controller mimic virtual object shapes, addressing fixed-prop limits in VR haptic interaction.

Hand movements deform a local interface surface without triggering its operation, providing visual feedback with fewer inputs and less cognitive burden.

Optical and inertial tracking are combined and selected by location to maintain accurate head movement tracking across large watercraft volumes.

This case modifies virtual object positions after a paused session detects real-world restrictions, helping prevent collisions during resumed interaction.

Natural language processing maps user input to context, then generates a VR environment with virtual-character communication in the same session.

Camera imaging of a known reference object lets a second device align with a first device in a shared virtual space.

An endoscope video processor unifies live and frozen images, patient data, peripherals, and network or PACS export in one interface.

Gesture and position recognition lets an AR camera pair with IoT devices and send commands through NFC or Bluetooth Low Energy.

Cognitive profiling and scenario detection equip industrial metaverse avatars with tailored tools, reducing manual search and workflow disruption.

Actual gaze data replaces demographic proxies and manual surveys to value advertisement spaces by individual viewer attention.

Random calibration targets and support vector regression adapt point-of-gaze estimation to each user and device, reducing bias and calibration error.

Finger movement on a control icon moves a pointer independently, improving precise selection and editing near touchscreen edges.

A spatially aware hub maintains relative positions and a user's digital location after exit, supporting context-aware machine interaction.

Sensor-triggered transitions from full virtual reality to mixed reality help users notice nearby physical objects without removing the device.

Capacitance-based SAR proximity sensors identify attached accessories so tablets can switch inputs, conserve power, and prevent accidental touches.