Analysis of a Smartphone-Based Architecture with Multiple Mobility Sensors for Fall Detection

Energy-efficient dynamic traffic offloading and reconfiguration of networked data centers for big data stream mobile computing: review, challenges, and a case study

(2016) Enzo Baccarelli et al.   IEEE NETWORK

The Evaluation of Physical Stillness with Wearable Chest and Arm Accelerometer during Chan Ding Practice

(2016) Kang-Ming Chang et al.   SENSORS

Challenges and Issues in Multisensor Fusion Approach for Fall Detection: Review Paper

(2016) Gregory Koshmak et al.   Journal of Sensors

Spectral Matrix Decomposition-Based Motion Artifacts Removal in Multi-Channel PPG Sensor Signals

(2016) Jiping Xiong et al.   IEEE Access

BEST-MAC: Bitmap-Assisted Efficient and Scalable TDMA-Based WSN MAC Protocol for Smart Cities

(2016) Ahmad Naseem Alvi et al.   IEEE Access

Energy-efficient Adaptive Resource Management for Real-time Vehicular Cloud Services

(2016) Mohammad Shojafar et al.   IEEE Transactions on Cloud Computing

Automatic Fall Detection System Based on the Combined Use of a Smartphone and a Smartwatch

(2015) Eduardo Casilari et al.   PLoS One

Analysis of Android Device-Based Solutions for Fall Detection

(2015) Eduardo Casilari et al.   SENSORS

Detecting Falls as Novelties in Acceleration Patterns Acquired with Smartphones

(2014) Carlos Medrano et al.   PLoS One

Comparison and Characterization of Android-Based Fall Detection Systems

(2014) Rafael Luque et al.   SENSORS

Smartphone-Based Solutions for Fall Detection and Prevention: Challenges and Open Issues

(2014) Mohammad Habib et al.   SENSORS

Automatic Fall Monitoring: A Review

(2014) Natthapon Pannurat et al.   SENSORS

Detecting Falls with Wearable Sensors Using Machine Learning Techniques

(2014) Ahmet Özdemir et al.   SENSORS

Optimal Placement of Accelerometers for the Detection of Everyday Activities

(2013) Ian Cleland et al.   SENSORS

Daily living activity recognition based on statistical feature quality group selection

(2012) Oresti Banos et al.   EXPERT SYSTEMS WITH APPLICATIONS

Evaluation of Accelerometer-Based Fall Detection Algorithms on Real-World Falls

(2012) Fabio Bagalà et al.   PLoS One

Fall Classification by Machine Learning Using Mobile Phones

(2012) Mark V. Albert et al.   PLoS One

Sensor Positioning for Activity Recognition Using Wearable Accelerometers

(2011) Louis Atallah et al.   IEEE Transactions on Biomedical Circuits and Systems

Detecting stereotypical motor movements in the classroom using accelerometry and pattern recognition algorithms

(2011) Fahd Albinali et al.   Pervasive and Mobile Computing

Comparison of acceleration signals of simulated and real-world backward falls

(2010) J. Klenk et al.   MEDICAL ENGINEERING & PHYSICS

A hierarchical approach to real-time activity recognition in body sensor networks

(2010) Liang Wang et al.   Pervasive and Mobile Computing

Sensor-Based Abnormal Human-Activity Detection

(2008) Jie Yin et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING