Psychotechnic Devices TRIZ Cases

Automated wearable assessments replace invasive procedures to deliver reliable Alzheimer's progression data without caregiver burden.

Acoustic battery uses pre-pulse inhibition to isolate startle responses, resolving diagnostic complexity in mental disorder assessment.

A fatigue degree determination device acquires awake and sleep biological heart rates to calculate user fatigue levels.

Dorsal wrist-side electrode arrangement maintains continuous skin contact to measure electrical impedance and determine skin conductance level.

A display presents masked visual stimuli to trigger involuntary eye movements tracked by an eye tracking unit.

A stress detection apparatus uses heart rate variability to identify sympathetic and parasympathetic nervous system changes.

An optical eye tracking system replaces subjective self-reporting by detecting microsaccadic rate suppression to objectively measure attentional responses.

A signal processing device classifies emotional states using skin conductance peak detection to enable personalized sleep advice.

A computing device uses a microphone to monitor ambient sounds and assist users in distinguishing auditory hallucinations from real audio.

A system identifies the most inactive window from EEG and GSR signals to establish a modified baseline for cognitive load assessment.

A three-dimensional memory assessment tool uses translucent containers to evaluate verbal and visuospatial cognitive functions.

A stress monitoring system extracts normalized heart rate and electrodermal activity values to identify user stress states.

A biometric monitoring system administers psychological tests using integrated sensors to capture emotional state data.

An eye tracking monitor detects smooth pursuit movements by analyzing gaze position against a moving visual stimulus.

Steady-state visually evoked potentials enable continuous neurophysiological monitoring of attentional control.

A monitoring apparatus calculates the time derivative of skin conductance signals to determine patient sedation levels during anesthesia.

A wearable assessment system uses a microfluidic sweat sampling component to collect biofluid for continuous biomarker analysis.

An ECoG-based brain-computer interface records neuronal activity to identify movement patterns and provide real-time feedback.

A rhythmic stimulus system determines intrinsic EEG frequency by applying periodic photic stimulation to elicit resonant neural responses.

Coherent radio waves penetrate the skull to reflect off moving ions, resolving the trade-off between deep penetration depth and DNA damage risks.

A concentration state evaluation device calculates the root mean square of successive differences between adjacent interbeat intervals from pulse wave data.

A wearable apparatus detects facial muscle activity and provides real-time biofeedback to the user.

A non-invasive monitoring system detects patient consciousness levels by analyzing natural behavioral responses to environmental stimuli.

A heart rate variability analyzer calculates sympathetic and parasympathetic indices across resting and task states to evaluate psychiatric disorder onset risk.

A data processing device calculates pupil and head movements to determine driver sleepiness levels.

Combines eye tracking and biometric identification to diagnose central nervous system injuries without separate manual assessments.

A smart wearable device detects seizures using biometric data and responsiveness testing to facilitate timely caregiver notification.

An estimation device calculates a tension state index from pre-competition physiological data to predict athletic performance.

Flexible thin-film electrodes calibrate galvanic skin response with temperature data to resolve motion artifacts in stress monitoring.

Replacing static stock photos with dynamic 3D animations resolves the trade-off between deployment simplicity and assessment accuracy.

Wireless haptic alerts trigger specific tasks when handler heart rate exceeds thresholds, resolving detection reliability issues in crowded environments.

Integrated imaging detects functional and structural eye changes to resolve diagnostic reliability versus device complexity trade-offs.

Six eye tracking metrics analyze smooth pursuit movement to resolve information loss from single standard deviation assessments.

A resilience monitoring system estimates individual stress levels using biosensor data and artificial intelligence for real-time assessment.

Multiple extraction units evaluate pulse interval distributions to resolve attenuation issues in non-invasive heart rate monitoring.

Segmenting electrodermal activity signals into rising and falling regions to characterize physiological events in wearable devices.

System correlates user context switches with biometric stress levels to resolve the productivity-stress trade-off through continuous feedback.

Non-contact sensors detect brain electrical activity through hair and clothing, resolving the trade-off between measurement precision and ease of operation.

A body-mountable device stores sensor data only when specific conditions are met.

A fatigue estimation system calculates subject fatigue levels by matching estimated postures against pre-stored specific posture data.

A portable virtual reality device uses an eye tracking unit to record objective physiologic responses for traumatic brain injury screening.

An in-ear device integrates a preamplifier within the elongation portion to amplify electrical signals near measurement electrodes.

Automated galvanic skin response analysis replaces subjective judgment with objective compatibility scores derived from tonic and phasic signal decomposition.

A media stream delivery system matches target emotional trajectories to aggregate content profiles using biometric sensors and neural networks.

A neurofeedback training system derives brain activity parameters and assesses user attention levels to update the training protocol in real-time.

A device estimates brain activity using time-series facial skin temperature data acquired without electrodes.

A sleep management system determines user awakening timing using biological data indices for precise notification.

A posture-based alert system estimates eye blink frequency using motion variability data to prompt users.

Smartphone-based eye tracking automates deception detection, eliminating dedicated testing stations and proctor requirements.