Wearable-sensor-based detection and prediction of freezing of gait in Parkinson's disease: a review

S Pardoel, J Kofman, J Nantel, ED Lemaire - Sensors, 2019 - mdpi.com
Freezing of gait (FOG) is a serious gait disturbance, common in mid-and late-stage
Parkinson's disease, that affects mobility and increases fall risk. Wearable sensors have …

Performance analysis of smartphone-sensor behavior for human activity recognition

Y Chen, C Shen - Ieee Access, 2017 - ieeexplore.ieee.org
The proliferation of smartphones has significantly facilitated people's daily life, and diverse
and powerful embedded sensors make smartphone a ubiquitous platform to acquire and …

A triaxial accelerometer-based physical-activity recognition via augmented-signal features and a hierarchical recognizer

AM Khan, YK Lee, SY Lee… - IEEE transactions on …, 2010 - ieeexplore.ieee.org
Physical-activity recognition via wearable sensors can provide valuable information
regarding an individual's degree of functional ability and lifestyle. In this paper, we present …

Fall detection system for elderly people using IoT and ensemble machine learning algorithm

D Yacchirema, JS de Puga, C Palau… - Personal and Ubiquitous …, 2019 - Springer
Falls represent a major public health risk worldwide for the elderly people. A fall not assisted
in time can cause functional impairment in an elderly and a significant decrease in his …

Human activity recognition via an accelerometer-enabled-smartphone using kernel discriminant analysis

AM Khan, YK Lee, SY Lee… - 2010 5th international …, 2010 - ieeexplore.ieee.org
Nowadays many people use smartphones with built-in accelerometers which makes these
smartphones capable of recognizing daily activities. However, mobile phones are carried …

Activity recognition on smartphones via sensor-fusion and KDA-based SVMs

AM Khan, A Tufail, AM Khattak… - International Journal of …, 2014 - journals.sagepub.com
Although human activity recognition (HAR) has been studied extensively in the past decade,
HAR on smartphones is a relatively new area. Smartphones are equipped with a variety of …

3-D hand motion tracking and gesture recognition using a data glove

JH Kim, ND Thang, TS Kim - 2009 IEEE international …, 2009 - ieeexplore.ieee.org
Hand motion tracking and gesture recognition are a fundamental technology in the field of
proactive computing for a better human computer interaction system. In this paper, we have …

Adaptive Bayesian inference system for recognition of walking activities and prediction of gait events using wearable sensors

U Martinez-Hernandez, AA Dehghani-Sanij - Neural Networks, 2018 - Elsevier
In this paper, a novel approach for recognition of walking activities and gait events with
wearable sensors is presented. This approach, called adaptive Bayesian inference system …

Exploratory data analysis of acceleration signals to select light-weight and accurate features for real-time activity recognition on smartphones

AM Khan, MH Siddiqi, SW Lee - Sensors, 2013 - mdpi.com
Smartphone-based activity recognition (SP-AR) recognizes users' activities using the
embedded accelerometer sensor. Only a small number of previous works can be classified …

Accurate activity recognition using a mobile phone regardless of device orientation and location

A Henpraserttae, S Thiemjarus… - … Conference on Body …, 2011 - ieeexplore.ieee.org
This paper investigates two major issues in using a tri-axial accelerometer-embedded
mobile phone for continuous activity monitoring, ie the difference in orientations and …