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captivatetm capacitive touch sensor technology  (Texas Instruments)

 
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    Texas Instruments captivatetm capacitive touch sensor technology
    Captivatetm Capacitive Touch Sensor Technology, supplied by Texas Instruments, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/capacitance+touch+sensor/capacitive+contact+sensor/us12562936-121-25-32
    Average 86 stars, based on 1 article reviews
    captivatetm capacitive touch sensor technology - by Bioz Stars, 2026-09
    86/100 stars

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    Related Articles

    other:

    Article Title: Multi-wavelength multi-distance diffuse correlation spectroscopy system for assessment of premature infants’ cerebral hemodynamics
    Article Snippet: Lines colored in red/blue repres nt the source/detection fibers, respectively. detection fibers, a 3-axis accelerometer IC (ADXL327, Analog Devices Inc) on the top surface, and integrates a capacitive contact sensor (FDC2212, Texas Instruments) on the bottom surface.

    Article Title: Conforming Capacitive Load Cells for Conical Pick Cutters.
    Article Snippet: Both tests use the FDC2114 device from Texas Instruments, headquartered in Dallas, Texas USA, to record the capacitive data from each of the 4 channels at roughly 400 Hz.

    Article Title: Multi-wavelength multi-distance diffuse correlation spectroscopy system for assessment of premature infants’ cerebral hemodynamics
    Article Snippet: The probe (dimensions: 40 × 15 mm2) hosts the 3D-printed holders for source and detection fibers, a 3-axis accelerometer IC (ADXL327, Analog Devices Inc) on the top surface, and integrates a capacitive contact sensor (FDC2212, Texas Instruments) on the bottom surface.

    Article Title: Distributed system of home device controllers
    Article Snippet: The touch sensor may be configured to perform in a slider configuration, and/or may be implemented utilizing any combination of capacitive touch sensors, such as CapTIvateTM capacitive touch sensor technology developed by Texas Instruments.

    Article Title: A Secure Long-Range Transceiver for Monitoring and Storing IoT Data in the Cloud: Design and Performance Study
    Article Snippet: The sensors used in the device are the DS18B20 fire sensor, DHT11 temperature-humidity sensor, MQ-2 gas sensor, LM393 vibration sensor, and capacitive soil moisture sensor (Texas Instruments, USA).

    Article Title: Multi-wavelength multi-distance diffuse correlation spectroscopy system for assessment of premature infants’ cerebral hemodynamics
    Article Snippet: The probe (dimensions: 40 × 15 mm 2 ) hosts the 3D-printed holders for source and detection fibers, a 3-axis accelerometer IC (ADXL327, Analog Devices Inc) on the top surface, and integrates a capacitive contact sensor (FDC2212, Texas Instruments) on the bottom surface.

    Article Title: Automatic scene creation using home device control
    Article Snippet: The touch sensor may be configured to perform in a slider configuration, and/or may be implemented utilizing any combination of capacitive touch sensors, such as CapTIvateTM capacitive touch sensor technology developed by Texas Instruments.



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    Image Search Results


    (a–d) Computer-aided design (CAD) renderings showing the modular enclosure, camera mount, and removable front panel. (e) Top-mounted USB3 machine-vision camera with visible and 850 nm infrared (IR) LED illumination for light and dark recordings. (f–g) Configurable arena fixtures for pellet wells and capacitive lickometers supporting fluid-access or operant tasks. (h) System wiring diagram linking the NVIDIA Jetson Orin Nano Super (6-core ARM CPU, 1024 CUDA cores, 32 tensor cores, 8 GB LPDDR5, 67 INT8 TOPS) to an RP2040 controller and MPR121 capacitive sensors. (i) Example configuration showing a two-bottle choice and fixed-ratio 1 (FR1) feeding task. Each unit operates as an independent edge device performing on-board YOLO inference, sensor synchronization via TTL, and bidirectional task control—enabling scalable, low-cost, networked behavioral experiments without workstation-grade GPUs.

    Journal: bioRxiv

    Article Title: SqueakPose Studio: An end-to-end platform for pose estimation and real-time edge-AI deployment

    doi: 10.64898/2026.01.24.700912

    Figure Lengend Snippet: (a–d) Computer-aided design (CAD) renderings showing the modular enclosure, camera mount, and removable front panel. (e) Top-mounted USB3 machine-vision camera with visible and 850 nm infrared (IR) LED illumination for light and dark recordings. (f–g) Configurable arena fixtures for pellet wells and capacitive lickometers supporting fluid-access or operant tasks. (h) System wiring diagram linking the NVIDIA Jetson Orin Nano Super (6-core ARM CPU, 1024 CUDA cores, 32 tensor cores, 8 GB LPDDR5, 67 INT8 TOPS) to an RP2040 controller and MPR121 capacitive sensors. (i) Example configuration showing a two-bottle choice and fixed-ratio 1 (FR1) feeding task. Each unit operates as an independent edge device performing on-board YOLO inference, sensor synchronization via TTL, and bidirectional task control—enabling scalable, low-cost, networked behavioral experiments without workstation-grade GPUs.

    Article Snippet: Capacitive sensing for fluid intake was handled via Adafruit MPR121 12-key capacitive touch sensors, communicating with the RP2040 over I2C.

    Techniques: Control