This is an integrated project of a power glove. It contains the development of electronical and moving devices to interpret and transcript the hand movements of the Sign Language.
Hand Cinematic: Hand movement and precision tracking
To analyse the capacity of the sensor to track the hand movement, we compare the full-scale range of the gyroscope and accelerometer with the cinematic equation of a hand motion. The references about the hand data movement are of a study of the University of Malaga. They used people with body differences (age, height, weight, IMC) to standardize the results. The
method to collect the information is with a mobile phone positioned in the arm. The data is processed and filtered with a statistic software (SPSS) and then the results are the angular mobility and lineal acceleration of each axis during flexion and abduction movement.
Acceleration mobility of a human hand :
AXIS
ABDUCTION
FLEXION
X
8,48
8,53
Y
19,48
19,43
Z
9,41
7,09
Working range of MPU 9250 : 1g = 9,81 m/s2
CHIP MODULE
RANGE MIN
RANGE MAX
ACCELEROMETER(M/S2)
±2g
±16g
GYROSCOPE (°/S)
±250
±2000
We can see that the work range of the device is able to collect all the hand movement, with the enough sensibility to detect each change correctly. The maximum range of acceleration of our arm is almost 2g, equivalent to the minimum range of the accelerometer. About the gyroscope, we analyse the angular velocity, and we obtain an average of 1782.18 °/s in an extremely case, doubtful in that project but possible.
• Calculations:
PERSON
MEASURE (S)
GERARD
0.095
ALEIX
0.091
ORIOL
0.099
IBRAHIM
0.101
The maximum is about a 2000° every second, this gyroscope is able for this project.
Hand Cinematic: Hand movement and precision tracking
To analyse the capacity of the sensor to track the hand movement, we compare the full-scale range of the gyroscope and accelerometer with the cinematic equation of a hand motion. The references about the hand data movement are of a study of the University of Malaga. They used people with body differences (age, height, weight, IMC) to standardize the results. The method to collect the information is with a mobile phone positioned in the arm. The data is processed and filtered with a statistic software (SPSS) and then the results are the angular mobility and lineal acceleration of each axis during flexion and abduction movement.
We can see that the work range of the device is able to collect all the hand movement, with the enough sensibility to detect each change correctly. The maximum range of acceleration of our arm is almost 2g, equivalent to the minimum range of the accelerometer. About the gyroscope, we analyse the angular velocity, and we obtain an average of 1782.18 °/s in an extremely case, doubtful in that project but possible.
The maximum is about a 2000° every second, this gyroscope is able for this project.