Input/Output For User-Computer Interaction TRIZ Cases

This case maps button functions to personalized vibration patterns, reducing ambiguity and power use without visual or audible cues.

An intermediary barrier blocks ultrasonic waves from microphones while preserving tactile feedback and clearer multi-user audio.

Viewer-aware image coordination creates seamless effects across multiple displays.

VR sensors compare eye, tactile, and movement behavior with user history to authenticate sessions and reduce visual attack exposure.

Environmental and pose data classify obstacles by danger level, triggering visual warnings at collision thresholds.

Image-based source and target detection enables long-distance content sharing without added UWB or NFC hardware.

TapGazer detects finger taps on any surface and uses gaze-selected words to support familiar, efficient VR typing.

Landmark sequences predict 3D hand poses, improving recognition accuracy and reducing contamination risk in medical device control.

Gesture detection switches hearable microphones between narrow and wide pickup modes, focusing on relevant speakers while attenuating background noise.

Machine learning classifies user data into meaningful memories, mints linked NFTs on blockchain, and supports sensory recreation.

Mobile geogestures rank POIs into major and general tiers, balancing relevant results with search coverage and lower processing demands.

Detect shared thread presence and prompt audio or video calls without ringtones.

This case records multi-window displays with focus-aware handling, preserving interaction context and playback distinctions.

This case uses historical motion data and high-order information to improve head pose prediction during vigorous movement.

Sensors capture reflected occupant radiation and correct perspective distortion before displaying AR on transparent vehicle panes.

Sensors identify posture changes while a wearable displays field-of-view cues to guide correct posture when viewing external objects.

Virtual and augmented reality guide self-administered eye tests while machine learning checks sensor signals for consistent results.

User-aware input mechanisms adapt settings and reduce manual configuration.

Pre-identify entitled media apps to shorten content-launch interactions.

This head-mountable case records experiences and inputs, then replays key context while monitoring attention to prompt refocusing.

Synchronize physical aircraft with virtual courses for immersive remote experiences.

A multi-functional interface combines touch sensing, text entry, and pointer modes to streamline transitions and reduce hand movement.

This case uses chassis microholes and shared keyboard LEDs to illuminate I/O ports without extra circuitry or chassis height.

Resilient adjustable supports help reduce discomfort and light leakage in head-mounted displays.

A first camera locates objects interacting with displayed visuals while a second tracks eye direction to refine gaze alignment.

This case adds reusable flags and presentation timestamps to haptics bitstreams, enabling accurate decoding and improved media presentation.

Sparse CIR estimation and ANN-to-SNN conversion improve ultrasound gesture accuracy under fading on constrained edge devices.

Map interaction color and object posture to part-specific feedback actions, replacing monotonous one-time responses with richer reuse.

Sensors identify posture while cameras capture external objects, then AR visuals guide correction and preserve ergonomic viewing.

Persona-specific rules and virtual directory numbers organize notifications across metaverses for context-aware avatar communication.

A wearable waveguide display uses peripheral auras and pose tracking to signal out-of-view objects while reducing eye strain.

This case combines head-motion machine learning with physiological signals to confirm emotions using minimal wearable hardware.

A base station and EM-equipped stylus capture relative pose for precise 3D input across VR, AR, and varied surfaces.

This case uses event-driven capture before and after button presses, then links images in sequence for easier viewing.

Independent surface and spatial sensors select by pen separation distance, preserving temporal resolution during drawing and gestures.

Pre-rendered pulse pipelines prioritize conflicting haptic events, balancing timing, energy use, and actuator protection.

This case maps joystick inputs through interpolation and coordinate conversion for more consistent TV cursor speed and accuracy.

This case synchronizes remote input with rendered frames using sequence numbers, feedback, and resending for smoother streaming interaction.

An interaction manager matches ray, gesture, and eye inputs to accepted objects in each 3D scene for natural XR control.

By evaluating angular speed, the system filters sampling points and builds continuous movement tracks for VR and mixed reality analysis.

Ear-canal sensors detect subtle tensor tympani movements for silent device control.

This case combines frame-to-frame salient points with descriptor maps to reduce pose hardware complexity and keep virtual content aligned.

A rendering control module assigns spatial audio parts by device position and user action to preserve mediated reality coherence.

Optical sensing tracks retro-reflective passive wands and matches gestures to trigger effects across varied lighting conditions.

This VR case uses controller inputs, alignment symbols, and stored pose data to synchronize the HMD and controller after drift.

World-locked holographic buttons let mixed reality users order items directly, reducing bandwidth, storage, and repeated browsing.

This mixed reality case uses 3D view volumes, user position, and gaze direction to select content at the intended location.

The simulator compares driving performance with rules and delivers private visual or haptic feedback without instructor criticism.

A wearable EMG system uses probabilistic ML classification to separate inner speech from involuntary gesture interference.

The method calculates pixel deformation from lens-specific distortion data, improving correction accuracy across head-mounted displays.