A survey on wearable sensor modality centred human activity recognition in health care
Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …
population structure. Aging-caused changes, such as physical or cognitive decline, could …
A tutorial on human activity recognition using body-worn inertial sensors
The last 20 years have seen ever-increasing research activity in the field of human activity
recognition. With activity recognition having considerably matured, so has the number of …
recognition. With activity recognition having considerably matured, so has the number of …
Activity recognition with smartphone sensors
The ubiquity of smartphones together with their ever-growing computing, networking, and
sensing powers have been changing the landscape of people's daily life. Among others …
sensing powers have been changing the landscape of people's daily life. Among others …
Deep recurrent neural network for mobile human activity recognition with high throughput
In this paper, we propose a method of human activity recognition with high throughput from
raw accelerometer data applying a deep recurrent neural network (DRNN), and investigate …
raw accelerometer data applying a deep recurrent neural network (DRNN), and investigate …
A survey on human-aware robot navigation
Intelligent systems are increasingly part of our everyday lives and have been integrated
seamlessly to the point where it is difficult to imagine a world without them. Physical …
seamlessly to the point where it is difficult to imagine a world without them. Physical …
USC-HAD: A daily activity dataset for ubiquitous activity recognition using wearable sensors
Many ubiquitous computing applications involve human activity recognition based on
wearable sensors. Although this problem has been studied for a decade, there are a limited …
wearable sensors. Although this problem has been studied for a decade, there are a limited …
A study of accelerometer and gyroscope measurements in physical life-log activities detection systems
Nowadays, wearable technology can enhance physical human life-log routines by shifting
goals from merely counting steps to tackling significant healthcare challenges. Such …
goals from merely counting steps to tackling significant healthcare challenges. Such …
Clustering time series using unsupervised-shapelets
Time series clustering has become an increasingly important research topic over the past
decade. Most existing methods for time series clustering rely on distances calculated from …
decade. Most existing methods for time series clustering rely on distances calculated from …
[كتاب][B] Activity learning: discovering, recognizing, and predicting human behavior from sensor data
DJ Cook, NC Krishnan - 2015 - books.google.com
Defines the notion of an activity model learned from sensor data and presents key
algorithms that form the core of the field Activity Learning: Discovering, Recognizing and …
algorithms that form the core of the field Activity Learning: Discovering, Recognizing and …
Attend and discriminate: Beyond the state-of-the-art for human activity recognition using wearable sensors
Wearables are fundamental to improving our understanding of human activities, especially
for an increasing number of healthcare applications from rehabilitation to fine-grained gait …
for an increasing number of healthcare applications from rehabilitation to fine-grained gait …