Pose classification and fall detection using mmWave sensor with Nvidia Jetson Nano
Budget: $750 – $1,500 USD
I want to use mmWave sensor with Nvidia Jetson nano to detect the human poses as well as Fall detection. Also, use for abnormal gait analysis.
1. The system is able to classify different exercises in real-time with very high accuracy such as Performing simple Yoga exercises and run the system to its full-frame rate and then see how small of a motion can you detect.
2. Identify which of the cloud-points correspond to which body part by using different colors for each of the cloud-points.
3. The system can be used for gait analysis which allows for future determination of abnormal motion in specific activities via micro-Doppler response and machine learning that can further emphasize the ability of micro-Doppler radar to perform abnormal gait classification.
More information available in attached files. plus some helpful papers.
1. The system is able to classify different exercises in real-time with very high accuracy such as Performing simple Yoga exercises and run the system to its full-frame rate and then see how small of a motion can you detect.
2. Identify which of the cloud-points correspond to which body part by using different colors for each of the cloud-points.
3. The system can be used for gait analysis which allows for future determination of abnormal motion in specific activities via micro-Doppler response and machine learning that can further emphasize the ability of micro-Doppler radar to perform abnormal gait classification.
More information available in attached files. plus some helpful papers.
Related categories:
Embedded Software
Machine Learning (ML)
Internet of Things (IoT)
Computer Vision
Deep Learning