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 …
Complex human activity recognition using smartphone and wrist-worn motion sensors
The position of on-body motion sensors plays an important role in human activity
recognition. Most often, mobile phone sensors at the trouser pocket or an equivalent position …
recognition. Most often, mobile phone sensors at the trouser pocket or an equivalent position …
[HTML][HTML] Development and clinical evaluation of a web-based upper limb home rehabilitation system using a smartwatch and machine learning model for chronic …
Background: Recent advancements in wearable sensor technology have shown the
feasibility of remote physical therapy at home. In particular, the current COVID-19 pandemic …
feasibility of remote physical therapy at home. In particular, the current COVID-19 pandemic …
Towards a diffraction-based sensing approach on human activity recognition
In recent years, wireless sensing has been exploited as a promising research direction for
contactless human activity recognition. However, one major issue hindering the real …
contactless human activity recognition. However, one major issue hindering the real …
A review of sensor selection, sensor devices and sensor deployment for wearable sensor-based human activity recognition systems
Data preprocessing, feature selection and classification algorithms usually occupy the bulk
of surveys on human activity recognition (HAR). This paper instead gives a brief review on …
of surveys on human activity recognition (HAR). This paper instead gives a brief review on …
Towards detection of bad habits by fusing smartphone and smartwatch sensors
Recently, there has been a growing interest in the research community about using wrist-
worn devices, such as smartwatches for human activity recognition, since these devices are …
worn devices, such as smartwatches for human activity recognition, since these devices are …
Mm-fit: Multimodal deep learning for automatic exercise logging across sensing devices
Fitness tracking devices have risen in popularity in recent years, but limitations in terms of
their accuracy and failure to track many common exercises presents a need for improved …
their accuracy and failure to track many common exercises presents a need for improved …
Milift: Efficient smartwatch-based workout tracking using automatic segmentation
The use of smartphones and wearables as sensing devices has created innumerable
context inference apps including a class of workout tracking apps. Workout data generated …
context inference apps including a class of workout tracking apps. Workout data generated …
Recognition of nutrition intake using time-frequency decomposition in a wearable necklace using a piezoelectric sensor
N Alshurafa, H Kalantarian… - IEEE sensors …, 2015 - ieeexplore.ieee.org
Food intake levels, hydration, ingestion rate, and dietary choices are all factors known to
impact the risk of obesity. This paper presents a novel wearable system in the form of a …
impact the risk of obesity. This paper presents a novel wearable system in the form of a …
Quantifying sources and types of smartwatch usage sessions
We seek to quantify smartwatch use, and establish differences and similarities to
smartphone use. Our analysis considers use traces from 307 users that include over 2.8 …
smartphone use. Our analysis considers use traces from 307 users that include over 2.8 …