As we are stepping into final 3 months of the TeamAware project and getting closer to the final demonstration, final status of the Activity Monitoring System (AMS) critically differs from the initial version, namely Body Motion Analysis System. In this blog, we would like to recap the initial version, and then show the main differences between initial and final versions of the AMS.
Initial version required 10 inertial measurement units (IMU) to classify the activity of the user, whereas in the final version, we can still detect the same set of movements with almost same accuracy. The confusion matrix with 5 inertial measurement units is below (Figure 1).
Besides the reduction of the IMU sensor modules, we have added health sensor module to the system, to detect vital signs and health related anomalies. The health watch is capable to detect PPG signals, from these signals, we are obtaining heart rate and blood oxygen rate and we generate alarms when the measured values are not between the nominal values of an average human, which might be indicative for a serious health complication.
Then, the initial IMU modules, charging circuits and the companion PC have been updated to the more professional version, which are designed to have some level of internal protection. The IMU module design is smaller in size and weight (Figure 3), compared to the previous version, and the companion PC also became wearable as shown in Figure 2.
The overall AMS (Figure 4) is able to respond the question of “How are you?” in addition to the question of “Where are you?” which is answered by the Continuous Indoor Outdoor Localisation System (COILS). The system has a critical place for enhancing the in-team situational awareness in first responder operations.
Contact
Monica Florea
Administrative Coordinator
European Projects Department
SIMAVI
Soseaua Bucuresti-Ploiesti 73-81 COM
Bucuresti/ROMANIA
Email:
Çağlar Akman
Technical Coordinator
Command and Control Systems
HAVELSAN
Eskişehir Yolu 7 km
Ankara/TURKEY
Email:
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101019808.