Input/Output For User-Computer Interaction TRIZ Cases

Task-irrelevant neural signals are mapped into reusable commands so one BCI switch can control multiple devices and software.

Optical gaze tracking and motorized screen adjustment keep medical images aligned with the user, reducing awkward posture and exam delays.

Context-aware XR presentation ranks industrial sensor data by task and environment to cut overload and improve operator guidance.

An internal light emitter and optical sensor let a joystick distinguish oblique pressing from lateral shifting while reducing mechanical fatigue.

Time-division multiplexed tactile packets with header-based delay and gain control let one radio channel drive many wearable vibration units reliably.

Vibration frequency control shifts perceived touch location from one tactile unit, enabling realistic fingertip or palm feedback with less hardware.

Finger-worn wireless controls let riders shift gears and adjust suspension without moving hand position or adding bar wiring.

A multi-DoF hand controller merges separate motion inputs into one forearm-supported grip, reducing coordination errors while adding tactile alerts.

Context-aware XR presentation adapts industrial automation data to user intent and environment, reducing overload while improving task guidance.

A torso-mounted inertial reference separates intended hand gestures from body motion, improving unmanned vehicle control accuracy during operator movement.

Device IDs and time limits let XR output devices reproduce only assigned data on time, reducing delay and synchronization complexity.

Machine time-series data, Rainflow counting, and a healing function predict operator fatigue without accessing sensitive health data.

HRTF-based auditory vection conveys vehicle or user orientation without overloading vision, improving attitude awareness in ambiguous environments.

Gesture recognition lets workers outside the cabin control shovel operating elements, improving remote operability and site safety.

Overlapping TOF sensor fields track dual trajectories to cut false recognition and simplify short-range gesture sensing.

A converter reuses its display to show switch-set address values briefly, then returns to operating status for clearer feedback and fewer faults.

Physical simulation mediates VR control inputs to detect switching states realistically while keeping machine visualization separate and flexible.

Graphical step guidance replaces paper checklists by confirming task completion and adapting maintenance flow to changing engine conditions.

Sensors monitor the panel's rotation path and stop or reverse movement when nearby obstacles are detected, preventing display collisions.

Gaze-tracked image highlighting lets a second operator follow a skilled operator's focus and better recognize remote working machine actions.

Visual affordances represent touch input captured on an external device, making playback launch and input-to-display transitions more intuitive.

Inertial hand sensing and neural networks replace camera gestures, enabling accurate UAV control in low light without extra sensors.

Camera-based hand joint tracking replaces complex levers, cutting operator training time while enabling safer remote control of work machines.

A message broker links distributed BMS instances so point value changes from multiple building sites appear in real time without data loss.

Independent heating pixels and LED arrays create local substrate temperatures, enabling controlled grating depth during ion beam etching.

Real-time orientation sensing keeps visual content stable as a display rotates or translates, reducing disruptive manual repositioning.

Brainwave signals are processed into control commands while vibrotactile effectors replace electrical stimulation for safer, intuitive feedback.

Coordinated face patterns, body movement, and illumination expand robot expression range and signal movement intent more clearly.

Crowd-sourced 3D models, edge processing, and neural networks improve obstacle detection and flight path planning in complex airspace.

Sensor data and neural action prediction let the interface act before input confirmation, cutting latency in gaming and cloud gaming.

Sensor-recorded layup and inspection data train AI to detect laminate nonconformances more accurately and reduce scrap.

Variable MRF joystick resistance guides operators as implements approach virtual boundaries, improving control precision and collision avoidance.

Helmet and vehicle sensor fusion separates rider gestures from motorcycle motion, enabling faster display control with lower cognitive load.

Combining 3D gesture parsing, finger-pressure sensing, and vibration feedback improves care robot control accuracy and user adaptability.

A convex mobile housing uses rocking detection to trigger functions with minimal input while reducing accidental activation through stable return.

Three hexagonal floor robots use pressure sensing and coordinated rotation to deliver omnidirectional walking with less control complexity and space.

Quality scoring removes low-value localization features to cut SLAM mapping data size, storage use, and processing load while preserving accuracy.

Curved biasing arms give a touchscreen joystick tactile feedback and self-centering motion without the bulk and cost of handheld controllers.

Detects users near a costume by held items or linked information, then triggers matching performances or alerts the actor for richer interaction.

A floating self-aligning bracket keeps emitter and receiver modules at fixed spacing, preserving 3D vision calibration under external force.

Body motion and voice inputs are converted into drone control signals, reducing joystick complexity and operator training time.

Motorized arcuate rods reposition the display to stay perpendicular to the viewer’s line of sight, reducing fatigue during prolonged viewing.

Vibrotactile feedback loops improve brainwave signal interpretation for non-invasive control, assistive interaction, and biofeedback training.

Brainwave-driven rider intent detection helps control braking or clutch assistance for complex maneuvers, improving safety for inexperienced riders.

A magnetic brake maintains pilot stick force feedback during electrical faults while cutting mass, power use, and mechanical complexity.

Combining 3D environment models with real-time UWB or BLE location data improves indoor tracking precision and AR or VR navigation.

When voice and gesture commands conflict, credibility scoring selects the best-matching instruction to keep smart home settings accurate.

Human motion is detected and mapped into drone operation signals, replacing difficult proportional control with more intuitive and safer handling.

Automatic card detection and built-in lighting help users securely view ID cards in low light while keeping hands free for other tasks.

A 3D sensor maps a surgeon's hand direction to target regions, enabling sterile, contactless control of operating tables and lights.