Input/Output For User-Computer Interaction TRIZ Cases

Projected movement reveals nearby real objects in VR to reduce collision risk.

Pre-encoded adaptation sets and metadata render 6DOF soundfields on 3DOF devices while adjusting speaker feeds to user movement.

This case shows how HMDs combine onboard tracking with shared skeletal data to refine pose estimates in shared AR.

Modular VR housing supports component upgrades without new mold development.

This case aligns a fake keyboard, extract box, and input box in 3D space for smoother extended reality interaction.

Usage history and context help surface relevant apps and actions, reducing navigation inputs and supporting lower battery use.

A pin-based actuator layer forms software-defined buttons, restoring tactile cues and user confidence on flexible touchscreens.

A surgical hub routes data streams into user-specific overlays with multisensory feedback and threshold-based error alerts.

Automated fiducial calibration and spiral transducer layouts improve coordinate accuracy while limiting acoustic ghost effects.

Tool-target affordance values generate selective visual and haptic feedback, reducing programming complexity in surgical simulations.

Device posture updates component rendering until visual matches enable complete virtual object assembly in AR.

Palm-based AR controls enable discreet virtual object operation with minimal gestures.

A control module switches power paths by device type, separating data transfer from charging to extend host and device battery life.

Cameras use projected structure light to determine peripheral pose, simplifying wearable display hardware and enabling miniaturization.

A power controller adjusts light-source output to maintain consistent reflection and position sensing as the optical pen rotates.

Focused ultrasound and machine learning map visual roughness to mid-air textures, reducing visual-tactile mismatch during interaction.

This case uses camera image capture and modular processing to recognize gestures during video calls and trigger device actions.

The system detects fingertip positions and deforms contacted virtual menu objects, avoiding physical buttons or device movements.

Eyelid motion selects XR objects without cumbersome hand gestures or joysticks.

Eye, head, hand, voice, and tactile inputs help predict planning actions and adapt data views, reducing inefficient dataset manipulation.

The camera analyzes object confidence, distance, and size to select modes and capture varied effects in one photographing action.

A distributed XR architecture offloads pose and content computation to a server, reducing stale poses, visual artifacts, and latency.

EMG, cameras, and machine learning combine speech, facial, and gesture cues for faster, more responsive computer control.

Multi-sensor gesture detection predicts patient activities for automated insulin delivery.

An angled reflection surface combines two display images for user-specific viewing, protecting content without a polarization filter.

This case uses a mobile imaging sensor and activity recognition to smartify furniture without costly, intrusive retrofitting.

A forearm-mounted controller maps real objects into VR, enabling calibrated fist tracking and more realistic physical training.

The control unit updates environmental information so multiple AR applications place virtual objects without overlap.

Machine-trained models classify IMU motion signals to recognize tongue gestures across head-worn and audio devices.

The AR system predicts future step locations and places interactive controls there for safer, more efficient input while users move.

A distance sensor dynamically adjusts GUI resolution, font size, and input elements to preserve readability at different viewing positions.

This case uses a head-frame-mounted VR display with sensory distraction to reduce anxiety while preserving patient-surgeon interaction.

This case captures brief events on one device, matches image elements, and overlays the event on another user's scene.

Distinct pulse tempo, count, frequency, and intensity let one haptic display convey multiple data types without multiple displays.

Virtual rooms use object placement feedback to expand memory training beyond physical spaces.

An integrated barometer and tongue position sensor convert oral gestures into wireless processor commands for users facing input limitations.

Distributed vibrational motors translate musical notes and rhythm into precise tactile feedback.

A database, renderer, and controller tailor AR content by user and environment location while reducing reliance on added storage space.

Active and reference haptics deliver wearable information without visual distraction.

A touch-sensitive intraoral scanner combines scanning and interface control, enabling 3D image navigation while the user remains engaged.

A collision-based gesture workflow selects AR content and attaches virtual objects within a messaging scene.

An event sensor detects light-intensity changes for fast stylus tracking and image capture without continuous frame storage.

Actuators vibrate the controller handle, while sensors detect touch-driven changes to switch modes without manual manipulation.

Location-triggered AR modes guide item selection and payment at merchant sites.

Shape memory alloy actuation enables compact, durable autofocus and optical stabilization.

This case uses wearable ultrasound signals and time-of-flight ranging to locate nearby devices indoors without extra tracking hardware.

Voice parameters drive real-time acoustic changes, controlling who hears a speaker in mixed reality through spatialized audio.

A controlling device uses QR codes and provider logos to assign channel or app commands, simplifying media key setup.

One hardware button interprets force, duration, and movement to replace multiple controls while reducing interaction burden and power use.

A second display shares user and virtual-environment status while the first maintains immersion, reducing inputs and social friction.