Fall recognition using wearable technologies and machine learning algorithms

@article{Harris2016FallRU,
  title={Fall recognition using wearable technologies and machine learning algorithms},
  author={Austin Harris and Hanna True and Zhen Hu and Jin Cho and Nancy Fell and Mina Sartipi},
  journal={2016 IEEE International Conference on Big Data (Big Data)},
  year={2016},
  pages={3974-3976}
}
Falls are common and dangerous for the elderly or individuals with decreased independence or functional limitations. Fall recognition is extremely important for fallers, healthcare providers, and society. Immediate fall recognition triggers emergency services and potentially decreases individuals time with injury without care. Acute post-fall intervention works to mitigate life threatening fall consequences, decrease fall risk through rehabilitation, and improve quality of life. Extended from… CONTINUE READING

Citations

Publications citing this paper.

References

Publications referenced by this paper.
Showing 1-10 of 25 references

Similar Papers

Loading similar papers…