Challenges in Studying Falls of Community-Dwelling Older Adults in the Real World

@article{Hu2017ChallengesIS,
  title={Challenges in Studying Falls of Community-Dwelling Older Adults in the Real World},
  author={Xin Hu and Rahav Dor and Steven Bosch and Anita Khoong and Jing Li and Susan L Stark and Chenyang Lu},
  journal={2017 IEEE International Conference on Smart Computing (SMARTCOMP)},
  year={2017},
  pages={1-7}
}
Despite over a decade of research and development in fall detection systems, accurate and reliable systems in use are few. The existing fall detection approaches leave three major challenges unsolved: (1) insufficient fall data for model training process, (2) unreliable labeling of ground truth, and (3) resorting to artificial falls to model falls. In this paper we highlight these challenges in a clinical study with community-dwelling adults. The data collected from the real world reveal… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

References

Publications referenced by this paper.
Showing 1-10 of 13 references

Evaluation of a threshold - based triaxial accelerometer fall detection algorithm

J. V. O’brien A. K. Bourke, G. M. Lyons
Classification and decision - theoretic framework for detecting and reporting unseen falls • 2016

Fall detection with body-worn sensors

Zeitschrift für Gerontologie und Geriatrie • 2013
View 1 Excerpt

AALO: Activity recognition in smart homes using Active Learning in the presence of Overlapped activities

2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops • 2012
View 1 Excerpt

Accurate

Q. Li, J. A. Stankovic, +3 authors G. Zhou
fast fall detection using gyroscopes and accelerometer-derived posture information, 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks • 2009
View 2 Excerpts

Accurate, Fast Fall Detection Using Gyroscopes and Accelerometer-Derived Posture Information

2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks • 2009

Similar Papers

Loading similar papers…