ridwanalam/besi-motion-analysis

Physical motion is captured using the 3-axis accelerometer on the Pebble watch. These motion data is analyzed to extract features for predicting physical agitation.

BESI-Motion-Analysis

Physical motion is captured using the 3-axis accelerometer on the Pebble watch. These motion data is analyzed to extract features for predicting physical agitation.

References:

1. Alam, Ridwan, et al., "BESI: Reliable and heterogeneous sensing and intervention for in-home health applications," Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), IEEE, 2017.
2. Alam, Ridwan, et al., "Motion biomarkers for early detection of dementia-related agitation," Proceedings of the 1st Workshop on Digital Biomarkers, ACM, 2017.
3. Alam, Ridwan, et al., "Inferring physical agitation in dementia using smartwatch and sequential behavior models," IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), IEEE, 2018.
4. Alam, Ridwan, et al., "Multiple-instance learning for sparse behavior modeling from wearables: Toward dementia-related agitation prediction," 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, 2019.
5. Homdee, Nutta, et al., "Agitation monitoring and prevention system for dementia caregiver empowerment," Computer, vol.52(11), IEEE, 2019.