Common Application Scenarios and Value of Thin-Film Pressure Sensors - CMCU-05B Empowers the First Step of Smart Living

In the intelligent era, data is the cornerstone of decision-making, and sensing is the starting point of data. A thin-film pressure sensor is precisely such a key "sensing layer" - it acts like a layer of thin "electronic skin", converting mechanical signals from various contact surfaces into electrical signals, giving devices a sense of touch. The role of the CMCU-05B pressure collector is to provide beginners with easy data acquisition and analysis capabilities, helping them establish a more intuitive quantitative understanding of the physical world. At the same time, it also provides technology engineers and R&D personnel with a foundational platform for data acquisition, analysis, and secondary development - through an open TTL serial communication protocol, developers can easily obtain raw data streams, perform custom algorithm development using tools like Python or MATLAB, or seamlessly integrate it into existing embedded systems to achieve a full-chain closed loop from data collection to terminal applications.

I. Product Introduction

The CMCU-05B is an industrial-grade 9-channel thin-film pressure display launched by RunesKee. It can simultaneously collect data from 9 thin-film pressure sensors or one 9-zone sensor (model RF-PUL9Z-V1), intuitively displaying the pressure distribution numerically on a 2.0-inch TFT color screen. The device supports switching between three pressure units: g, kg, and N. The sampling frequency can reach up to 1kHz. It has a built-in 450mAh battery for standalone use, and can also be connected via USB or TTL serial interface to microcontrollers or computers for data recording and analysis. It is suitable for pressure distribution testing needs in fields such as human biomechanics, rehabilitation engineering, and smart wearables. )

Key Parameters:

II. Application Scenario Testing
Scenario 1: Hand Force Distribution Test (Grip Ball Test)
Attach 6 thin-film pressure sensors to the grip ball at positions corresponding to the thumb, index finger, middle finger, ring finger, little finger, and thenar eminence (this experiment uses 6 channels, with the remaining 3 channels available for additional measurement points as needed). When the subject grips the ball, the screen displays real-time pressure values for each channel. When connected to a computer, the pressure curve can be viewed via the host computer software, allowing comparison of force changes between different grip postures or before and after rehabilitation training.

The same measurement principle can be extended to more application scenarios:

1. Sensors are installed on sports equipment such as baseball bats, badminton rackets, hockey sticks, etc. to analyze the grip force details of athletes' actions like holding and swinging.
2. Sensors installed on gloves allow smart devices to quantify abstract "feel" and provide real-time, objective feedback.
3. Sensors installed on VR somatosensory devices, for example, capture the details of hand force exertion and map them to the virtual world, enabling more natural interaction, such as crushing objects of different hardness based on grip strength in VR.
4. Grip force analysis data can provide more precise control signals for intelligent prosthetics.
5. Monitoring the grip strength of workers operating tools can be used to assess muscle fatigue.
6. In collaborative robot scenarios, grip strength sensors can perceive human intentions in real-time, enabling safer and more natural interactions.
7. In the aerospace field, wearable grip analysis gloves are used to quantify the hand biomechanics of astronauts in extreme environments such as extravehicular activities

Scenario 2: Plantar Pressure Distribution Test
Taking a single-foot test as an example, place 5 sensors on the insole at the root of the big toe, the front of the forefoot, the rear of the forefoot, the center of the heel, and the outside of the heel, then connect to the CMCU-05B to conduct the test. (The remaining 4 channels can be used for the opposite foot or to expand to other measurement points.)

The device can collect plantar pressure data during standing, walking, jogging, etc. The curve chart reflects the pressure waveform patterns under different gaits, providing valuable pressure distribution reference data for preliminary screening of gait abnormalities and verification of footwear design.

Plantar pressure distribution analysis, similar to grip strength analysis, is also a "window" into the body. It has long surpassed the scope of "measuring feet" and has developed into a multi-dimensional assessment tool, demonstrating irreplaceable value particularly in fields such as diabetic foot management, sports performance optimization, and footwear design

With sensors installed in insoles or inside shoes, measuring plantar pressure distribution can be applied in these scenarios:

1. By analyzing plantar pressure distribution, it is possible to identify high-pressure areas and predict the risk of foot ulcers.
2. By analyzing plantar pressure during activities like running and jumping, it is possible to detect abnormal force patterns, predict and prevent injuries such as stress fractures.
3. By analyzing plantar pressure characteristics under different movement patterns (e.g., running, jumping), athletes can optimize their technique, choose the most suitable shoes or insoles, and monitor training load.
4. Provide precise biomechanical data for sports shoes 、, elderly walking shoes 、, diabetic foot-specific shoes, etc., guiding the selection and optimization of sole structure and materials.
5. Provide key data for the design of orthopedic insoles and orthoses, ensuring they can effectively distribute pressure and correct gait.
6. By analyzing the pressure distribution between the foot and the shoe, it can help designers optimize the fit and comfort of footwear.
7. Used to develop smart insoles 、 and smart socks, enabling long-term, unobtrusive monitoring during daily activities.
8. In the control of exoskeleton robots and intelligent prosthetics, plantar pressure signals can serve as important control commands or feedback information.
9. Everyone's gait is unique, and plantar pressure distribution patterns can be used for biometric identification, applied to identity verification in specific scenarios.

Scenario 3: Smart Seat Pressure Distribution Test
When used in conjunction with the CMCU-05B and thin-film pressure sensors, multiple measurement points can be arranged in key areas of the cushion (centered on the bilateral ischial tuberosities, symmetrically arranged around them, and also on the backrest and armrests). After the subject sits down, the values of each channel can be read directly to quickly identify areas of high pressure concentration. This solution offers the advantages of flexible deployment and controllable costs, making it suitable for prototype validation of products such as smart home devices, automotive seats, and office health equipment.

The sensor is installed on the seat to measure seat pressure distribution, and can be applied in the following areas:

1. Through real-time monitoring, risk points in easily compressed areas such as the buttocks and back can be identified. By adjusting the wheelchair backrest and leg rest angles, pressure can be actively managed, and the most suitable pressure-relieving cushion for the patient can be evaluated and selected.
2. It provides objective sitting biomechanics data for patients such as those with spinal cord injuries, to evaluate the effect of wheelchair sitting posture adjustments on alleviating lumbar fatigue, and to guide clinical selection of special cushions that can improve spinal alignment and relieve back pain.
3. Smart seats integrated with sensors can monitor the sitting posture and weight distribution of patients at home, and issue early warnings when abnormalities are detected (such as prolonged sitting or abnormal center of gravity).
4. By analyzing pressure distribution maps, the static and dynamic comfort of seats in automobiles, offices, aviation, and other settings can be evaluated.
5. This data can guide engineers in adjusting filling materials, shapes, and support structures to achieve uniform pressure distribution, and to design combined seats with variable hardness that adapt to body pressure distribution.
6. The seat can recognize the passenger's body shape, determine the current sitting posture, and actively and automatically adjust the seat's support structure. It can even detect vital signs such as respiration and fatigue levels.
7. By analyzing the center of gravity and posture, more natural interaction can be achieved, such as controlling a game character based on sitting posture.
8. By monitoring the driver's body posture and changes in center of gravity, it is possible to determine whether they are fatigued or distracted, and issue timely warnings.
9. It provides data support for the design of gaming chairs, enhancing player comfort during long gaming sessions.
10. Smart desks and chairs can monitor students' sitting posture to help develop good habits; in office settings, they can identify fatigue states and remind employees to take timely breaks.
11. Develop smart seats with sitting posture monitoring and reminder functions for children, the elderly, and others.

Ⅲ. Usage Methods
Method 1: Standalone Use:
Turn on and use directly. The screen displays real-time pressure values for 9 channels, supporting unit switching among g, kg, and N.

Method 2: Connected to PC Software:

1. Open the data acquisition software provided by the manufacturer on the computer.
2. Select the corresponding COM port and click "Connect".
3. The main interface of the software is for pressure value acquisition. A curve chart can be opened at the top left corner.
4. The software features a "Data Save" function, which can save the data collected during the software process as a table file, facilitating subsequent analysis and processing.
5. The software supports multiple functions such as modifying configuration parameters, pressure thresholds, baud rate, adjusting the acquisition frequency, and enabling the number of channels. The collector can also be paired with a wireless transmission board to achieve remote data return, which can be applied to industrial sites where wiring is inconvenient (such as factory floors, outdoor tests, etc.).

Method 3: Connect to PLCs, touch screens, microcontrollers, and other industrial control devices via TTL serial port

The CMCU-05B provides an open TTL interface and adopts the standard MODBUS-RTU communication protocol. Data can be read and modified through corresponding register addresses. Developers only need to consult the register address table in the product manual to quickly implement data reading and writing.

This method enables the CMCU-05B to be quickly embedded into various industrial control devices, especially suitable for R&D projects that need to integrate pressure detection into their own products - such as adding pressure monitoring stations on automated production lines, or incorporating real-time force feedback functions into medical rehabilitation equipment.

Although pressure analysis appears to be a simple force test on the surface, it is actually a powerful multi-dimensional evaluation tool. From grip strength to the sole of the foot, from sitting posture to interaction, the CMCU-05B makes the data collection of thin-film pressure sensors simple, flexible, and practical - whether it's for quick verification out of the box or deep integration for secondary development, it strives to do one thing well: making the forces of the physical world perceptible, recordable, and applicable.

This data can also be used to train embodied intelligent robots - physical interaction data, The robot's world model can generate countless "what if the grip strength were different" counterfactual predictions based on this data. This essentially provides a "real anchor point" for calibrating physical parameters in the world model, greatly narrowing the gap between virtual training and real-world deployment.

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