Extending the battery lifetime of wearable sensors with embedded machine learning

X Fafoutis, L Marchegiani, A Elsts… - 2018 IEEE 4th World …, 2018 - ieeexplore.ieee.org
Smart health home systems and assisted living architectures rely on severely energy-
constrained sensing devices, such as wearable sensors, for the generation of data and their …

Wearable devices and low-power design for smart health applications: challenges and opportunities

T Basaklar, Y Tuncel, S An… - 2021 IEEE/ACM …, 2021 - ieeexplore.ieee.org
Wearable devices can enable affordable and accessible smart health care services with the
help of innovative low-power design and edge computing technologies. Indeed, novel …

Embracing self-powered wireless wearables for smart healthcare

L Yuan, C Xiong, S Chen… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
We present Apollo, a self-powered wireless biochemical system that is wearable and can
continuously monitor personal health states. It has three key enablers. First, we design an …

Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices

A Mathur, T Zhang, S Bhattacharya… - 2018 17th ACM/IEEE …, 2018 - ieeexplore.ieee.org
A small variation in mobile hardware and software can potentially cause a significant
heterogeneity or variation in the sensor data each device collects. For example, the …

MicroDeep: In-network deep learning by micro-sensor coordination for pervasive computing

Y Fukushima, D Miura, T Hamatani… - … on Smart Computing …, 2018 - ieeexplore.ieee.org
The conventional wireless sensor networks are designed to gather information from sensors,
and pervasive computing systems involve such wireless sensor networks that consist of a …

Embedded deep learning

B Moons, D Bankman, M Verhelst - Embedded Deep Learning, 2019 - Springer
Although state of the art in many typical machine learning tasks, deep learning algorithms
are very costly in terms of energy consumption, due to their large amount of required …

Edge-based energy management for smart homes

C Xia, W Li, X Chang, FC Delicato… - 2018 IEEE 16th Intl …, 2018 - ieeexplore.ieee.org
With the penetration of Internet of Things (IoT) paradigm into household scenarios, more and
more smart appliances are deployed to improve living comfort of residents. However, the …

A discreet wearable long-range emergency system based on embedded machine learning

C Orfanidis, RBH Hassen, A Kwiek… - … and other Affiliated …, 2021 - ieeexplore.ieee.org
Low-Power Wide Area Networks have contributed in several parts of the Internet of Things
ecosystem during the last years by enabling long range, robust and low power …

Synchronous dynamic view learning: a framework for autonomous training of activity recognition models using wearable sensors

SA Rokni, H Ghasemzadeh - Proceedings of the 16th ACM/IEEE …, 2017 - dl.acm.org
Wearable technologies play a central role in human-centered Internet-of-Things
applications. Wearables leverage machine learning algorithms to detect events of interest …

VITAL-ECG: A portable wearable hospital

V Randazzo, E Pasero… - 2018 IEEE Sensors …, 2018 - ieeexplore.ieee.org
After surgery, patients should remain under medical supervision to avoid possible
complications. For this purpose, several patient vital parameters are monitored to ensure …