weighing load cell uses EtherCAT technology for high-speed data communication and supports Power over Ethernet (PoE) technology, reducing the complexity of electrical installations. Alps Alpine Co., Ltd. (Tokyo: 6770; President and CEO: Toshihiro Kuriyama) has added a new model to the HSFPAR power sensor line. Mass production of the HSFPAR007A Force Sensor, Alpine's smallest sensor, began in June 2020.
 
    
. FWMFS is based on a strong magnet with a flexible magnetic field and a  multilayer coating, which can improve the performance of flexible sensors. The best part of the rigid part and flexible part is obtained by numerical analysis.  FWMFS
 can obtain standard force measurements from 0.5 to 60 N and can discriminate between different impulses depending on the magnetic field configuration. FWMFS exhibits a voltage sensitivity of 0.227 mV/N (0.5-8.4 N) and 0.047 mV/N (8.4-60 N) under normal force.  FWMFS can detect external forces between 0.2-1.1 N with a voltage sensitivity of 1.039 mV/N (0.2-0.5 N) and 0.194 mV/N (0.5-1.1 N). FWMFS has various applications for electrical standards
  and others. When  FWMFS is added to the bootloader, the system extracts the tree stress signal and applies the k-nearest  (k-NN) algorithm to process the sensory information. This makes it possible to identify and determine the different conditions of human activity with an accuracy of 92%.
 Flexible electromagnetic pressure sensors have attracted attention for their stability, resistance to environmental influences and the direction of the magnetic field. A soft magnetic device with a pre-programmed magnetic distribution is often used to accurately determine the force. For example, Yan et al.31 proposed a soft touch sensor that can be cut with high resolution by designing a sinusoidally magnetized flexible film for robotic control. The sensor can measure both
  normal force and external force, and  a pressure effect range of only 8 N. Man et al32 proposed a tactile and airflow  sensor based on flexible double-layer magnetic cilia. The top layer of the magnetic cilia is a flexible material connected to the magnetic material, while the bottom layer is a pure flexible material. The sensitivity of the sensor is between 0 and 60 µN. In addition, Zhou et al33 demonstrated a self-supporting electronic membrane system based on  
 whisker-like magnetized microcilia.

The robot torque sensor has a global area of ​​≈3.15 cm2 and  a maximum sensitivity of 0.04 mV kPa-1 (0.03-5 kPa) and 0.012 mV kPa-1 (5-26 kPa) with a wide sensitivity of 3.5. In summary, most  flexible magnetic sensors have a magnet inside the flexible material to provide a magnetic field for the sensor. They are highly affected by the geomagnetic field, with low energy and narrow
 activity. This is due to the small number of magnetic elements, which results in  low  magnetization. In addition, the flexible shaft absorbs some of the operating energy, which reduces the strength of the magnetic field in the coil.
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 Derived from the model of a human finger, which is composed of bone attached to the surrounding muscles and skin cells, it suggests a multi-field force sensor (FWMFS).  FWMFS is based on a strong magnet with a flexible magnetic field and a stacked multilayer coating, which can improve the performance of flexible sensors. The optimum part of the rigid part and the elastic part is obtained by numerical analysis. The FWMFS
 can  achieve  normal force measurements from 0.5 to 60 N and can distinguish the boundary from different impulse directions depending on the  magnetic field configuration. FWMFS exhibits a voltage sensitivity of 0.227 mV/N (0.5–8.4 N) and 0.047 mV/N (8.4–60 N) in response to normal force. The FWMFS can detect external forces between 0.2–1.1 N with a voltage sensitivity of 1.039 mV/N (0.2–0.5 N) and 0.194 mV/N (0.5–1.1 N).  FWMFS has various applications for
 single  and multiple power measurements. When the FWMFS is added to a shoe, the system extracts the tree pressure signal and applies the  k-nearest neighbor (k-NN) algorithm  to process the sensor information. This makes it possible to classify and identify different states of  human activity with an accuracy of 92%.
 In recent years, with the development of torque sensor calibration devices, flexible pressure sensors have shown great potential in the field of motion monitoring1,2,3, machine interaction (HMI) 4,5,6, personalized medicine7,8,9 and soft intelligence. machine 10,11,12. The understanding and detection of multidirectional structural impulses is important for pressure stress and can provide  complete, detailed and accurate information about stress distribution and relationships that support the direction of motion13, slippage
 detection14, and diagnosis15. Many studies have been conducted to obtain the multidirectional force response and sensitivity of pressure sensors for various applications.

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