| Title | MPER - a Motion Profiling Experiment and Research system for human body movement |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Rettlinger, Sebastian, Knaus, Bastian, Wieczorek, Florian, Ivakko, Nikolas, Hanisch, Simon, Nguyen, Giang T., Strufe, Thorsten, Fitzek, Frank H. P. |
| Conference Name | 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) |
| Date Published | mar |
| Keywords | Bioinformatics, Conferences, Data models, human factors, machine learning, Metrics, Muscles, Pervasive computing, Pervasive Computing Security, pose estimation, pubcrawl, resilience, Resiliency, Scalability, sensor system, Smart device, Tracking |
| Abstract | State-of-the-art approaches in gait analysis usually rely on one isolated tracking system, generating insufficient data for complex use cases such as sports, rehabilitation, and MedTech. We address the opportunity to comprehensively understand human motion by a novel data model combining several motion-tracking methods. The model aggregates pose estimation by captured videos and EMG and EIT sensor data synchronously to gain insights into muscle activities. Our demonstration with biceps curl and sitting/standing pose generates time-synchronous data and delivers insights into our experiment's usability, advantages, and challenges. |
| DOI | 10.1109/PerComWorkshops53856.2022.9767484 |
| Citation Key | rettlinger_mper_2022 |
MPER - a Motion Profiling Experiment and Research system for human body movement