See how a mattress sensor strip detects snoring and apnea signature frequencies, then triggers
See how an adjustable bed frame uses biological signal monitoring and zoned angular positioning
See how a mattress-attached sensor strip detects signature breathing frequencies to monitor sno
See how a mattress-attached sensor strip detects breathing signature frequencies for snoring an
Motion and proximity sensing verify continuous scrubbing and soap use at the sink, improving handwashing compliance with real-time feedback.
A mattress sensor strip detects breathing signatures of snoring and sleep apnea, enabling alerts or automatic bed adjustment at home.
Force sensors in multiple bed directions enable unobtrusive measurement of patient weight, heart rate, and breathing in mobile hospital beds.
Adjustable lateral supports and retractometer feedback limit anterior chest wall collapse, improving inspiration without surgical or ventilatory complications.
Threshold-based power control enables heating or auxiliary functions only when stored energy is sufficient, extending battery life and usability.
Heartbeat sensing and ECU profile matching detect abnormal driver conditions, update baselines, and limit vehicle speed when risk is found.
Adaptive sensors and machine learning tailor wheelchair control to user impairments while enabling authentication and safer obstacle handling.
Heart rate deceleration after a detected hazard helps ADAS judge whether the driver noticed the danger and avoid unnecessary warnings.
Non-invasive RF analyte sensing checks driver identity, intoxication, tiredness, and sickness before granting vehicle access.
Integrated steering wheel sensors capture ECG, pulse, and oxygen data to adjust vehicle functions without manual input or hand removal.
Bidirectional EV battery control powers medical equipment in remote locations while balancing battery use for continued vehicle operation.
Physiological data from a nearby wearable lets the vehicle adjust seat and climate settings and trigger user feedback for comfort and safety.
Physiological data from a nearby wearable helps authenticate vehicle access, personalize settings, and trigger user feedback from telemetry.
Cabin speakers and microphones detect breathing and cardiac motion through acoustic reflections, avoiding specialized vehicle sensing hardware.
Heartbeat sensing and ECU profile comparison detect abnormal driver heart activity, then trigger alerts, vehicle intervention, or emergency notice.
Cardiac deceleration after a hazard signal confirms driver perception, allowing ADAS alerts to adapt and avoid unnecessary warnings.
Sensor and wallet credentials are validated through a distributed ledger to control space access while protecting medical privacy and reducing bandwidth.
Using ultrasonic AC and earphone impedance changes, this case captures heart rate and body temperature without user action or added sensors.
A biased intermediate metallization layer cuts parasitic capacitance in ultrasonic pixel receivers, improving sensitivity, voltage conversion, and noise.
A flexible oral control plate improves tongue positioning and fit across oral cavity sizes while simplifying waterproof mass production.
Uses pulse-wave-derived oxygen saturation patterns to identify the correct user and prevent health data cross-contamination.
Coherence analysis matches physiological signals from different sensors to detect misplacement, switching, or faulty data with less manual review.
Cuff inflation pressure patterns enable user authentication during blood pressure measurement without extra microphones or ECG electrodes.
Feedback-controlled dual-wavelength light initialization helps optical sensors reach target values before biometric detection for more accurate SpO2 measurement.
Wearable monitoring replaces hospital-only transplant follow-up with verified, compressed, encrypted vital sign data for secure long-term tracking.
Biometric sensing and motion detection let a wearable VR accessory identify users and change video content only during continuous wear.
Infrared temperature sensing and integrated health criteria checks reduce contact during screening while helping control facility access.
Local LLM isolation, capability brokering, and step-up approval let an agentic browser act on web content without leaking credentials.
Biopotential electrodes and ECG-based feedback let an aerosol delivery unit adjust functional elements for better usability and user safety.
Time-velocity radar feature extraction improves occupant presence and position detection in enclosed spaces such as vehicle cabins.
Encrypted multi-angle fingervein scans are matched on a separate biometric server to strengthen desktop access while protecting user privacy.
Manual GUI location entry with timed voice prompts lets wireless patient beds achieve accurate bed-to-room association without wired nurse call links.
Combining ECG, heart sound, and oximeter sensing in one wearable layout enables continuous blood pressure estimation for long-term monitoring.
Combining heart sound, ECG, and oximeter sensing on one wearable board enables continuous blood pressure estimation from pulse transit time.
Force and vital sign sensing help beds distinguish patients from objects, auto-zero scales, track sleep state, and send timely caregiver alerts.
External garment codes linked to wireless module IDs let teams identify the correct wearer and activity data in multi-user settings.
Threshold-triggered cellular transmission and RF energy harvesting cut biosensor power use while sustaining continuous physiological monitoring.
A face-first image selects eye-level illumination, reducing eyeglass reflections and avoiding dual-mode imaging delays in iris recognition.
Cloud-based classifiers process wearable sensor data to reduce false-positive and false-negative arrhythmia detections and limit unnecessary prompts.
High-input-impedance voltage sensing detects living-body contact without electrode current, reducing noise and battery use during biometric measurement.
Persistent biosensor monitoring can lose track of device users; blood perfusion features enable automatic identity verification.
Conditional biometric calls let contactless transactions proceed without waiting for fingerprint matching when the access device does not require it.
Pre-established circadian profiles identify users sharing devices, synchronize their vital signs, and reduce unnecessary memory consumption.
Group-first gait filtering routes relevant cases to specialized models, improving person-identification accuracy without physical contact.
Electrode shifts and subject variation disrupt EEG recognition across sessions; TSFAN domain adaptation learns stable spatial-frequency features.
Infrared sensing replaces contact-based temperature checks, while automated questions and health-criteria evaluation streamline touchless screening.
An adjustable member compensates for finger-size differences, keeping transmitted blood-flow images focused for reliable ring authentication.
An acute-angle optical path through a skin-contact surface supports sensing of heart rate and other biological parameters.
Timestamped photoplethysmography signals from two body locations derive pulse transit time for robust user authentication despite physiological change.
RFID identification, training completion, and test scores work with a locking mechanism to restrict laboratory enclosure access to pre-authorized users.
Mode-aware bioimpedance detection improves user identification and body composition accuracy.
This case uses timestamps from PPG waveforms at two body regions to improve authentication security without relying on one wearable.
Automated monitoring system compares real-time contraction frequency against safety thresholds to trigger alarms and reduce iatrogenic injury risk.
A malleolar registration clamp holds the ankle bone in a fixed position relative to a reference marker for surgical navigation.
Replacing complex optical cameras with electromagnetic induction enables continuous analog detection of finger stiffness and coordinated movement.