I love your work very much, I'm an electronic engineering student and being able to see your work on sensors linked to the Unreal engine seems great to me, success.
10:43 How to measure distance / displacement using accelerometer 11:29 Accelerometer driven velocity and distance calculation (Coming Next) Great project! I have learned a lot, thank you! I am looking forward to the next video content. The walking position in the back of the video will be moved in real-time to the UE, or I will give some guidance on the implementation process!
I see that you are using your IMU's with great wiseness and skill. I would suggest switching from Ardinos and NodeMCU's to ESP32 as it costs the same ,but has quite more power and speed at the same time. It is 32 bit IC, that has lots of prototype boards too available. There is also default arduino IDE compatability so you won't be forced to anything new. Hope it will help.
these are great videos... i wondered though if a mpu9250 9-Axis 10DOF Attitude Gyro+Accelerator+Magnetometer Sensor Module would work instead of the bnoo55?
Also, there is a thing with your concept of your use of GPS. I saw you used it for foot tracking. As far as GPS' are great nowadays, they are quite slow. So the best strategy would be to use them to calculate the crouch\torso position, and solve the foot position with IK, moving the body to the correct heigth.This idea could get you somewhere.
If you wish to use the IMU to track feet position, you can search up the "3D Tracking with IMU" by SebMadgwickResearch posted here on youtube on 8.03.2011. It has a source code of special algorythm for tracking IMU's position.
Wow, just wow. I´ve been working on a similar project mesauring the pitch roll and yaw and aplying a quaternion filter but using MPUs. My yaw values are not accurate and it's making me crazy. Do you think i can achieve something similar with your sourcecodes? Thanks for the help, you are life saving
hey it was really nice tutorials, now I'm trying with 2 sensors, but when I try to export the values to a webpage it was working for 4 to 5 seconds and getting Guru meditation error, can you help me to solve it, thanks
I was looking at other sensors to work with for the development of the suit also on my side, I wanted to consult you because you do not work with the Mpu6050 sensor as this also has accelerometer, gyroscope and even has the I2C interface, being this its cost more affordable than the BNO055 which is the one you work with. What motivates you to go with this sensor?
Because bno055 industry grade and accurate. I actually worked on mup6050 and 9250. But those need lot of time to calibrate and not accurate as well. I am buying bno055 board now for my development later I will buy the chip to reduce the cost. For comparison please check this video th-cam.com/video/3-IBOJ5FQvI/w-d-xo.html Same algorithm but different outcome
@@othersYATC I think a good video that also explains the situation is this hahaha th-cam.com/video/Mqxea_qojBQ/w-d-xo.html No, but now seriously, watching several videos and analyzing datasheet topics, you are right, but this sensor is quite expensive and I have not found how to acquire it I have found it is the component alone, not with its adafruit development board module
Hello bro Can you help me virtual production for camera in real-time moving I'm try mpu 6050 sensor but i want to make x,y,z axis and rotation also can you help me
Mpu6050 is 6dof sensor. You can use that to get perfect orientation. If you are using arduino, process is same. You need to use mpu library. Once you get the connectivity collect the quaternion data from mpu and convert it to Euler using the formula shown in the video. That’s it. It should work
This guys uses mpu model with esp32. Use the same process. Please note mpu models are cheaper but less quality than bno. I found bno is work spending money. Here is the difference th-cam.com/video/3-IBOJ5FQvI/w-d-xo.html
![🔴 ฟุตบอลแชมป์กีฬา 7HD แชมเปียน คัพ 2024 [รอบรองชนะเลิศ]](http://i.ytimg.com/vi/zPm8ClLVhoE/mqdefault.jpg)
You truly simplified it better than anyone till yet, I would request you to make a deepdive playlist into IMU, Filters and Sensor Fusion
I love your work very much, I'm an electronic engineering student and being able to see your work on sensors linked to the Unreal engine seems great to me, success.
Really appreciate your comment. Please stay tune. More interesting things are coming 😀😀
Thank you very much. If you anything else please let me know.
Thank you for the reply
10:43 How to measure distance / displacement using accelerometer
11:29 Accelerometer driven velocity and distance calculation (Coming Next)
Great project! I have learned a lot, thank you! I am looking forward to the next video content. The walking position in the back of the video will be moved in real-time to the UE, or I will give some guidance on the implementation process!
Great series that hasn't been completed since a year ago. I hope you are well and able to finish this project.
Amazing details and info that you're sharing with us. thank you.
Was this project ever finished? You mentioned incorporating gps and a "next video".
Thank you for your explanation. It is a good video and I think it can be even better if you can remove the background music,
I see that you are using your IMU's with great wiseness and skill. I would suggest switching from Ardinos and NodeMCU's to ESP32 as it costs the same ,but has quite more power and speed at the same time. It is 32 bit IC, that has lots of prototype boards too available. There is also default arduino IDE compatability so you won't be forced to anything new.
Hope it will help.
these are great videos... i wondered though if a mpu9250 9-Axis 10DOF Attitude Gyro+Accelerator+Magnetometer Sensor Module would work instead of the bnoo55?
Yes it works
I’ll publish one soon
This channel deserves more views, one more thing , judging by your accent are you by any chance from west bengal ?😅
Also, there is a thing with your concept of your use of GPS. I saw you used it for foot tracking. As far as GPS' are great nowadays, they are quite slow. So the best strategy would be to use them to calculate the crouch\torso position, and solve the foot position with IK, moving the body to the correct heigth.This idea could get you somewhere.
If you wish to use the IMU to track feet position, you can search up the "3D Tracking with IMU" by SebMadgwickResearch posted here on youtube on 8.03.2011. It has a source code of special algorythm for tracking IMU's position.
Wow, just wow. I´ve been working on a similar project mesauring the pitch roll and yaw and aplying a quaternion filter but using MPUs. My yaw values are not accurate and it's making me crazy. Do you think i can achieve something similar with your sourcecodes?
Thanks for the help, you are life saving
Yes you can as quaternion to Euler formula is same. I am starting with mpu9250 as bno055 is not available. So please stay tuned
@@othersYATC Thank you! that is one of the mpus i've been using! Sadly my yaw values are still not good enough
Please try to calibrate the imu. I am in progress of making the device using mpu9250 due to scarcity of bno055. Soon I will publish it
Have you seen the madgwick 3d tracking?
Muhteşem
hey it was really nice tutorials, now I'm trying with 2 sensors, but when I try to export the values to a webpage it was working for 4 to 5 seconds and getting Guru meditation error, can you help me to solve it,
thanks
I was looking at other sensors to work with for the development of the suit also on my side, I wanted to consult you because you do not work with the Mpu6050 sensor as this also has accelerometer, gyroscope and even has the I2C interface, being this its cost more affordable than the BNO055 which is the one you work with.
What motivates you to go with this sensor?
Because bno055 industry grade and accurate. I actually worked on mup6050 and 9250. But those need lot of time to calibrate and not accurate as well. I am buying bno055 board now for my development later I will buy the chip to reduce the cost.
For comparison please check this video
th-cam.com/video/3-IBOJ5FQvI/w-d-xo.html
Same algorithm but different outcome
@@othersYATC I think a good video that also explains the situation is this hahaha th-cam.com/video/Mqxea_qojBQ/w-d-xo.html
No, but now seriously, watching several videos and analyzing datasheet topics, you are right, but this sensor is quite expensive and I have not found how to acquire it
I have found it is the component alone, not with its adafruit development board module
I already found the adafruit page it is not searching well and it is $31 each sensor to make the complete suit
Already working on mpu9250. Will publish it soon
Can you show tcp connection to ue5 for the esp32
Hello bro
Can you help me virtual production for camera in real-time moving I'm try mpu 6050 sensor but i want to make x,y,z axis and rotation also can you help me
Mpu6050 is 6dof sensor. You can use that to get perfect orientation. If you are using arduino, process is same. You need to use mpu library. Once you get the connectivity collect the quaternion data from mpu and convert it to Euler using the formula shown in the video. That’s it. It should work
You can use this source code
github.com/pgii/GyroMocapUE4
Video details th-cam.com/video/-snMEgDAt94/w-d-xo.html
This guys uses mpu model with esp32. Use the same process. Please note mpu models are cheaper but less quality than bno. I found bno is work spending money.
Here is the difference
th-cam.com/video/3-IBOJ5FQvI/w-d-xo.html
Does it suffer from drift over time?
how can I access full code?
Please check my Patreon site