A jack leveling apparatus utilizes a Hall effect sensor to determine a rate of movement of the jack leveling apparatus. The rate of movement is correlated to loading or unloading of the jack level device. When a load is applied to the jack level, the rate of movement will slow while alternatively, if a load is removed, the rate of movement will increase. Utilizing these values, the controller may also determine the position of the leg of the jack level device.

A method for operating an internal combustion engine, such as a marine diesel engine, that is operative for rotating an output shaft of the engine in a normal operating mode for generating a desired output power based on an operating fuel quantity introduced into the engine. The engine is operated in a calibration mode at a defined rotational speed of the output shaft, and a calibrating fuel quantity introduced into the engine to maintain the defined rotational speed in the calibration mode is determined. In the normal operating mode of the engine, the engine output power is determined based on the operating fuel quantity being introduced into the engine in the normal operating mode and the calibrating fuel quantity determined in the calibration mode.

A method for operating an internal combustion engine, such as a marine diesel engine, that is operative for rotating an output shaft of the engine in a normal operating mode for generating a desired output power based on an operating fuel quantity introduced into the engine. The engine is operated in a calibration mode at a defined rotational speed of the output shaft, and a calibrating fuel quantity introduced into the engine to maintain the defined rotational speed in the calibration mode is determined. In the normal operating mode of the engine, the engine output power is determined based on the operating fuel quantity being introduced into the engine in the normal operating mode and the calibrating fuel quantity determined in the calibration mode.

A dynamic tire pressure sensor system for a bike comprises a dynamic tire pressure sensor device and a user receiving carrier wherein the dynamic tire pressure sensor device comprises at least a tire pressure sensor module, a processing module and a transmission module: the tire pressure sensor module transmits tire pressure change data to the processing module; the processing module either performs data operation independently or transmits tire pressure change data to the user receiving carrier from the transmission module for data operation in order to analyze pedaling cadences and pedaling forces during cycling and provide/display real-time sports information on the user receiving carrier.

A power measurement assembly mounted within an axle. In a specific example, the axle is a spindle that is interconnects the cranks of a bicycle, exercise, bicycle, or other fitness equipment. The power measurement assembly may include strain gauges connected with an appropriate circuit (e.g., Wheatstone bridge) that provides an output of the force on the axle by a rider pedaling the crank. In the case of an axle, the strain gauges measure the torsion due to the applied torque on the crank. The value is converted to a power value by a processor and that value is then wirelessly transmitted for display. The processor and/or the transmitter may be mounted within the axle. A separate power measurement assembly may be mounted on one of the cranks, which may include its own processor and transmitter or may take advantage of the processor and transmitter within the axle.

A data generation device includes: a parameter generator; and a reaction force data generator. The parameter generator generates value data based on a signal having a correlation with a driving force. The parameter generator generates velocity data based on a signal representing a response of a member driven by the driving force. The reaction force data generator generates data of a reaction force received by the member from a predetermined object based on the value data and the velocity data.

An information output device that can output the position of a load applied to the pedal is provided. A strain gauge is provided on the inner face of a crank of a bicycle and detects strain occurring in the crank. A cycle computer display unit displays an image showing the center position of the load applied to the pedal connected to the crank based on the tangential force and the torsional torque calculated based on the output values of the first strain gauge to the sixth strain gauge.

Collision of a robot is detected by the following method. The robot includes a motor, a gear reducer connected to the motor, an encoder detecting a rotation of the motor, a temperature sensor installed to the encoder, and an object which is driven by the motor via the gear reducer. An external force torque due to a collision as a collision torque estimation value is estimated by subtracting a dynamic torque obtained by an inverse dynamic calculation of the robot from a torque output to the gear reducer by the motor. It is determined that the robot receives an external force if the collision torque estimation value is greater than a predetermined collision detection threshold. The predetermined collision detection threshold is set to a first value in a case where a temperature detected by the temperature sensor is less than a predetermined temperature threshold. The predetermined collision detection threshold is set to a second value less than the first value at a first time point at which the detected temperature is equal to or greater than the predetermined temperature threshold in a case where a maximum value of the collision torque estimation value is less than a first maximum value determination threshold in a period to the first time point from a second time point prior to the first time point by a predetermined length of time. The predetermined collision detection threshold is set to the first value at the first time point in a case where the maximum value of the collision torque estimation value is equal to or greater than the first maximum value determination threshold in the period.

Collision of a robot is detected by the following method. The robot includes a motor, a gear reducer connected to the motor, an encoder detecting a rotation of the motor, a temperature sensor installed to the encoder, and an object which is driven by the motor via the gear reducer. An external force torque due to a collision as a collision torque estimation value is estimated by subtracting a dynamic torque obtained by an inverse dynamic calculation of the robot from a torque output to the gear reducer by the motor. It is determined that the robot receives an external force if the collision torque estimation value is greater than a predetermined collision detection threshold. The predetermined collision detection threshold is set to a first value in a case where a temperature detected by the temperature sensor is less than a predetermined temperature threshold. The predetermined collision detection threshold is set to a second value less than the first value at a first time point at which the detected temperature is equal to or greater than the predetermined temperature threshold in a case where a maximum value of the collision torque estimation value is less than a first maximum value determination threshold in a period to the first time point from a second time point prior to the first time point by a predetermined length of time. The predetermined collision detection threshold is set to the first value at the first time point in a case where the maximum value of the collision torque estimation value is equal to or greater than the first maximum value determination threshold in the period.

A sensor system for performing gait analysis of a person includes a sensor system that includes a pair of sensor insoles that include a plurality of force sensors, an accelerometer, and a transmitter for transmitting data to a portable electronic device. A monitoring program operably installed on the portable electronic device performs the following steps: receiving a desired cadence; receiving the data from the sensor insoles; determining an actual cadence of the person's footsteps based upon the data received; and comparing the actual cadence with the desired cadence.