Person Identification TRIZ Cases

A CPR depth sensor uses a force reference signal to compensate for acceleration integration errors.

Instrument electrodes measure impedance to distinguish bone from soft tissue, eliminating depth interference and external cables.

A biometric system measures oculomotor plant characteristics and complex eye movement patterns to assess human identity.

A handheld tri-axis accelerometer measures anterior thoracic trunk sway to evaluate human balance without fixed monitors.

Angled extraction zones divert infrared rays away from the sensitive element, preventing overexposure and artefacts in venous network imaging.

A medical device processor compares posture sensor data to reference values to detect signal drift or shift.

A motion sensor disables power when a portable device connects to an external supply.

Public area sensor arrays measure gait characteristics against baselines to detect safety threshold breaches without intruding into private living spaces.

Machine learning models analyze mobile device motion data to authenticate users based on unique gait patterns.

Segmented sensor arrays and intermediary processing nodes enable quantitative diagnosis of neuromotor disorders without increasing system complexity.

A display device integrates a pressure sensor and photo-sensor to calculate blood pressure information from pulse wave signals.

A medical device estimates contact force using three-dimensional geometry data and bending stiffness calculations to control tissue interaction.

Opposing suction and pressing forces immobilize tissue while removing air bubbles to achieve 95% to 99.8% sensor contact reliability.

Information processing device acquires sole and toe load measurements to extract user identification features.

A wearable device integrates biometric sensors with a display unit to provide real-time physiological feedback.

A UWB radar system transforms reflected signals into a dynamic point cloud to detect breathing and heartbeat pulsations without physical contact.

Virtual reference lines on a mobile screen replace physical backdrops to resolve measurement precision versus facility setup complexity.

A ribbed balloon base positions the elastic measurement balloon against teeth, preventing shallow insertion and ensuring consistent compression accuracy.

Optical cameras capture patient anatomy to automate exposure parameter adjustment, resolving inaccuracies from manual subjective evaluations.

A force sensing device uses a registration plate to establish a fixed reference point for tongue measurements.

A wearable device manages biometric tokens using an invalidating event detector to secure identity verification without embedded scanning hardware.

Replacing RF signals with intraluminal pressure and temperature analysis eliminates signal interference and patient movement errors.

A gait analysis device uses tri-axial acceleration sensors to detect motion and estimate walking conditions without requiring complex balance actions.

A biometric authentication device predicts temporal variations in success rates to trigger registration data updates only when necessary.

Scheimpflug imaging generates stable posterior cornea maps to prevent contact lens manipulation while maintaining high identification accuracy.

A reference pixel defines the pupil center using low-intensity pixels and surrounding high-intensity pixels for accurate iris identification.

A mechanical pivot shift measurement device applies standardized dynamic loads to quantify knee rotational stability.

Wireless sensors track equine movement and vital signs to establish normal behavior patterns.

Multi-point detectors measure combined chest and abdomen displacement, resolving single-point inaccuracy that causes suboptimal image quality.

Analyzing meal-related heartbeat area size and amplitude identifies individuals, resolving authentication errors caused by sensor position deviations.

A face recognition apparatus selects representation data based on subject age to maintain identification accuracy.

Yoked prisms shift visual images to realign the visual midline, correcting postural imbalance and weight-bearing asymmetry in stroke rehabilitation.

Portable sensors detect foot contact events to calculate gait stability values using chaos metrics for neuromuscular classification.

A cuff-mounted light emitter projects a dot onto a floor tracking pattern to guide patient limb movement.

A retinal authentication apparatus aligns line of sight via fixation targets to compare optical path length distributions against registered personal data.

A gradient descent expert system compares predicted versus actual vital signs to prevent misidentification errors in healthcare settings.

A gait identification device normalizes walking waveforms to recognize users accurately.

An implantable sensor system compares dynamic signals against reference data to determine medical parameter trends.

Touch sensor data aligns partial fingerprint images into a common coordinate system, reducing the number of required captures during enrollment.

Thermochromic pads and a magnification mirror enable visual self-examination to identify inflammation risks without medical interpretation.

Learning mode establishes system characteristic values to correct sensor data errors, eliminating the need for precise fitting by skilled personnel.

Segmented sensor paddles with telescopic couplings measure joint forces without patella eversion, resolving measurement precision conflicts.

A head motion sensor system adjusts visual display images to assess vestibulo-ocular function without direct eye tracking.

Differential arithmetic between green and red face image components reduces noise from movement and ambient light to determine accurate heart rates.

Piezoelectric sensors in a flexible pad measure uterine pressure changes, resolving the trade-off between high belt tension and patient comfort.

A femur implant registration device uses reference markers to define spatial position and orientation during hip surgery.

An expandable angle indicator measures capsular bag diameter through arm angle detection.

ECG sensing device detects cardiac signals to authenticate drivers and personalize settings, resolving complexity trade-offs via multi-functionality.

A television displays measurement data from a physical sensor to integrate health monitoring into daily viewing routines.