Abstract
Falls are considered as risky for the elderly people because it may affect the health of the people. So, in the recent years many elderly fall detection methods has been developed. In the present years many fall detection method had been developed but it uses only accelerometer sensor to detect the fall. It may fail in finding in the difference between actual fall and fall like activities such as sitting fast and jumping. In the proposed approach I have suggested a fall detection algorithm to detect the fall of elderly people. Daily human activities are divided into two parts such as static position and dynamic position. With the help of tri-axis accelerometer proposed fall detection can detect four kinds of positions such as falling front, front backward, jumping and sitting fastly. Acceleration and velocity is used to determine kind of fall. Our algorithm uses accelerometer and gyroscope sensor to predict the fall correctly and reduce the false positives and false negatives and increase the accuracy. In addition to that our method is made out of low cost and it can be used in real-time.
Similar content being viewed by others
References
Manogaran, G., Thota, C., Lopez, D., Vijayakumar, V., Abbas, K.M., Sundarsekar, R.: Big data knowledge system in healthcare. In: Internet of Things and Big Data Technologies for Next Generation Healthcare (pp. 133–157). Springer International Publishing, Berlin (2017)
Kumar, P.M., Gandhi, U., Varatharajan, R., Manogaran, G., Jidhesh, R., Vadivel, T.: Intelligent face recognition and navigation system using neural learning for smart security in Internet of Things. Cluster Comput., 1–12 (2017)
Kumar, P.M., Gandhi, U.D.: A novel three-tier Internet of Things architecture with machine learning algorithm for early detection of heart diseases. Comput. Electr. Eng. (2017)
Gandhi, U.D., Kumar, P.M., Varatharajan, R., Manogaran, G., Sundarasekar, R., Kadu, S.: HIoTPOT: Surveillance on IoT devices against recent threats. Wirel. Pers. Commun., 1–16 (2018)
Kumar, P.M., Gandhi, U.D.: Enhanced DTLS with CoAP-based authentication scheme for the internet of things in healthcare application. J. Supercomput., 1–21 (2017)
Priyan, M.K., Nath, C.G., Balan, E.V., Prabha, K.R., Jeyanthi, R.: Desktop phishing attack detection and elimination using TSO program. In: Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), 2015 International Conference on (pp. 198–201). IEEE (2015, May)
Lopez, D., Manogaran, G., Jagan, J.: Modelling the H1N1 influenza using mathematical and neural network approaches. Biomed. Res. 28(8), 1–5 (2017)
Rawal, B.S., Vijayakumar, V., Manogaran, G., Varatharajan, R., Chilamkurti, N.: Secure disintegration protocol for privacy preserving cloud storage. Wirel. Pers. Commun., 1–17
Manogaran, G., Lopez, D.: Disease surveillance system for big climate data processing and dengue transmission. Int. J. Ambient Comput. Intell. (IJACI) 8(2), 88–105 (2017)
Manogaran, G., Lopez, D.: Disease surveillance system for big climate data processing and dengue transmission. Int. J. Ambient Comput. Intell. 8(2), 1–25 (2017)
Manogaran, G., Lopez, D.: Spatial cumulative sum algorithm with big data analytics for climate change detection. Comput. Electr. Eng. (2017)
Manogaran, G., & Lopez, D. (2017). A Gaussian process based big data processing framework in cluster computing environment. Cluster Comput., 1–16
Manogaran, G., Lopez, D., Thota, C., Abbas, K. M., Pyne, S., Sundarasekar, R.: Big data analytics in healthcare Internet of Things. In: Innovative Healthcare Systems for the 21st Century (pp. 263–284). Springer International Publishing, Berlin (2017)
Varatharajan, R., Vasanth, K., Gunasekaran, M., Priyan, M., Gao, X.Z.: An adaptive decision based kriging interpolation algorithm for the removal of high density salt and pepper noise in images. Comput. Electr. Eng. (2017)
Varatharajan, R., Manogaran, G., Priyan, M.K., Sundarasekar, R.: Wearable sensor devices for early detection of Alzheimer disease using dynamic time warping algorithm. Cluster Comput., 1–10 (2017)
Varatharajan, R., Manogaran, G., Priyan, M.K.: A big data classification approach using LDA with an enhanced SVM method for ECG signals in cloud computing. Multimed. Tools Appl., 1–21 (2017)
Manogaran, G., Varatharajan, R., Lopez, D., Kumar, P.M., Sundarasekar, R., Thota, C.: A new architecture of Internet of Things and big data ecosystem for secured smart healthcare monitoring and alerting. Fut. Gener. Comput. Syst. (2017)
Thota, C., Sundarasekar, R., Manogaran, G., Varatharajan, R., Priyan, M.K.: Centralized fog computing security platform for IoT and cloud in healthcare system. In: Exploring the Convergence of Big Data and the Internet of Things (pp. 141–154). IGI Global (2018)
Manogaran, G., Vijayakumar, V., Varatharajan, R., Kumar, P.M., Sundarasekar, R., Hsu, C.H.: Machine learning based big data processing framework for cancer diagnosis using hidden markov model and GM clustering. Wirel. Pers. Commun., 1–18 (2017)
Lopez, D., Sekaran, G.: Climate change and disease dynamics—a big data perspective. Int. J. Infect. Dis. 45, 23–24 (2016)
Manogaran, G., Vijayakumar, V., Varatharajan, R., Kumar, P.M., Sundarasekar, R., Hsu, C.H. Machine learning based big data processing framework for cancer diagnosis using hidden Markov model and GM clustering. Wirel. Pers, Commun., 1–18 (2017)
Varatharajan, R., Manogaran, G., Priyan, M.K.: A big data classification approach using LDA with an enhanced SVM method for ECG signals in cloud computing. Multimed. Tools Appl. 1–21 (2017)
Thota, C., Sundarasekar, R., Manogaran, G., Varatharajan, R., Priyan, M.K.: Centralized fog computing security platform for IoT and cloud in healthcare system. In: Exploring the Convergence of Big Data and the Internet of Things (pp. 141–154). IGI Global (2018)
Manogaran, G., Lopez, D.: Health data analytics using scalable logistic regression with stochastic gradient descent. Int. J. Adv. Intell. Paradig. 9, 1–15 (2016)
Manogaran, G., Lopez, D.: A survey of big data architectures and machine learning algorithms in healthcare. Int. J. Biomed. Eng. Technol. 25(2–4), 182–211 (2017)
Manogaran, G., Thota, C., Lopez, D.: Human-computer interaction with big data analytics. In: HCI Challenges and Privacy Preservation in Big Data Security (pp. 1–22). IGI Global (2018)
Lopez, D., Manogaran, G.: Parametric model to predict H1N1 influenza in Vellore District, Tamil Nadu, India. In: Handbook of Statistics (Vol. 37, pp. 301–316). Elsevier, Amsterdam (2017)
Manogaran, G., Varatharajan, R., Priyan, M.K.: Hybrid recommendation system for heart disease diagnosis based on multiple Kernel learning with adaptive neuro-fuzzy inference system. Multimed. Tools Appl., 1–21 (2017)
Varatharajan, R., Manogaran, G., Priyan, M.K., Balaş, V.E., Barna, C.: Visual analysis of geospatial habitat suitability model based on inverse distance weighting with paired comparison analysis. Multimed. Tools Appl., 1–21 (2017)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Chandra, I., Sivakumar, N., Gokulnath, C.B. et al. IoT based fall detection and ambient assisted system for the elderly. Cluster Comput 22 (Suppl 1), 2517–2525 (2019). https://doi.org/10.1007/s10586-018-2329-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10586-018-2329-2