The Design of a Smartphone-Based Fall Detection System

被引：0
|
作者：
Sie, Meng-Ruei [1 ]
Lo, Shou-Chih [1 ]
机构：
[1] Natl Dong Hwa Univ, Dept Comp Sci & Informat Engn, Hualien, Taiwan
来源：
2015 IEEE 12TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC) | 2015年
关键词：
fall detection; smartphone; string matching; 3-axis acceleration sensor;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The eldercare problem becomes important due to population ageing. A fall accident may cause serious injury to the elderly. How to automatically detect a fall and quickly launch a help message becomes crucial, particularly for those elders living alone. The smartphone that is frequently carried by a person has the potential to be a natural tool to provide this fall detection service. In this paper, a string matching based algorithm is applied to recognize all possible fall events from the acceleration values sensed by the smartphone. A corresponding application is also implemented on the android-based platform.
引用
收藏
页码：456 / 461
页数：6
相关论文
共 50 条
  • [21] A smartphone-based online system for fall detection with alert notifications and contextual information of real-life falls
    Yaar Harari
    Nicholas Shawen
    Chaithanya K. Mummidisetty
    Mark V. Albert
    Konrad P. Kording
    Arun Jayaraman
    [J]. Journal of NeuroEngineering and Rehabilitation, 18
  • [22] SHMDRS: A Smartphone-Based Human Motion Detection and Response System
    Lin, Ke
    Cheng, Siyao
    Li, Yingshu
    Li, Jianzhong
    Gao, Hong
    Wang, Hongzhi
    [J]. WIRELESS ALGORITHMS, SYSTEMS, AND APPLICATIONS, WASA 2016, 2016, 9798 : 174 - 185
  • [23] A smartphone-based online system for fall detection with alert notifications and contextual information of real-life falls
    Harari, Yaar
    Shawen, Nicholas
    Mummidisetty, Chaithanya K.
    Albert, Mark, V
    Kording, Konrad P.
    Jayaraman, Arun
    [J]. JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2021, 18 (01)
  • [24] Smartphone-based colorimetric detection system for portable health tracking
    Balbach, Samira
    Jiang, Nan
    Moreddu, Rosalia
    Dong, Xingchen
    Kurz, Wolfgang
    Wang, Congyan
    Dong, Jie
    Yin, Yixia
    Butt, Haider
    Brischwein, Martin
    Hayden, Oliver
    Jakobi, Martin
    Tasoglu, Savas
    Koch, Alexander W.
    Yetisen, Ali K.
    [J]. ANALYTICAL METHODS, 2021, 13 (38) : 4361 - 4369
  • [25] A Smartphone-Based System for Detecting Falls Using Anomaly Detection
    Carletti, Vincenzo
    Greco, Antonio
    Saggese, Alessia
    Vento, Mario
    [J]. IMAGE ANALYSIS AND PROCESSING (ICIAP 2017), PT II, 2017, 10485 : 490 - 499
  • [26] Wireless Sensor and Smartphone-based System for Detection of Sleep Apnea
    Koley, Bijoylaxmi
    Mandal, Saradindu
    [J]. 2022 IEEE 6TH INTERNATIONAL CONFERENCE ON CONDITION ASSESSMENT TECHNIQUES IN ELECTRICAL SYSTEMS, CATCON, 2022, : 374 - 378
  • [27] A Smartphone-Based Drowsiness Detection and Warning System for Automotive Drivers
    Dasgupta, Anirban
    Rahman, Daleef
    Routray, Aurobinda
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 20 (11) : 4045 - 4054
  • [28] Design and Implementation of Smartphone-Based Tear Volume Measurement System
    Okazaki, Yoshiro
    Takenaga, Tatsuki
    Miyake, Taku
    Iwabuchi, Mamoru
    Okubo, Toshiyuki
    Yokoi, Norihiko
    [J]. INTERNET OF THINGS TECHNOLOGIES FOR HEALTHCARE, HEALTHYIOT 2016, 2016, 187 : 155 - 158
  • [29] Analysis of a Smartphone-Based Architecture with Multiple Mobility Sensors for Fall Detection with Supervised Learning
    Antonio Santoyo-Ramon, Jose
    Casilari, Eduardo
    Manuel Cano-Garcia, Jose
    [J]. SENSORS, 2018, 18 (04)
  • [30] Smartphone-based colorimetric detection of glutathione
    Vobornikova, Irena
    Pohanka, Miroslav
    [J]. NEUROENDOCRINOLOGY LETTERS, 2016, 37 : 139 - 143
12345