Activity recognition for creatures of habit: Energy-efficient embedded classification using prediction
Energy storage is quickly becoming the limiting factor in mobile pervasive technology. We
introduce a novel method for activity recognition which leverages the predictability of human …
introduce a novel method for activity recognition which leverages the predictability of human …
Energy-efficient activity recognition using prediction
Energy storage is quickly becoming the limiting factor in mobile pervasive technology. For
intelligent wearable applications to be practical, methods for low power activity recognition …
intelligent wearable applications to be practical, methods for low power activity recognition …
Energy-efficient activity recognition framework using wearable accelerometers
Acceleration data for activity recognition typically are collected on battery-powered devices,
leading to a trade-off between high-accuracy recognition and energy-efficient operation. We …
leading to a trade-off between high-accuracy recognition and energy-efficient operation. We …
A hardware-assisted energy-efficient processing model for activity recognition using wearables
Wearables are being widely utilized in health and wellness applications, primarily due to the
recent advances in sensor and wireless communication, which enhance the promise of …
recent advances in sensor and wireless communication, which enhance the promise of …
Scalable recognition of daily activities with wearable sensors
High-level and longer-term activity recognition has great potentials in areas such as medical
diagnosis and human behavior modeling. So far however, activity recognition research has …
diagnosis and human behavior modeling. So far however, activity recognition research has …
[HTML][HTML] Lightweight accurate trigger to reduce power consumption in sensor-based continuous human activity recognition
E Lattanzi, L Calisti, P Capellacci - Pervasive and Mobile Computing, 2023 - Elsevier
Wearable devices have become increasingly popular in recent years, and they offer a great
opportunity for sensor-based continuous human activity recognition in real-world scenarios …
opportunity for sensor-based continuous human activity recognition in real-world scenarios …
Designing a robust activity recognition framework for health and exergaming using wearable sensors
N Alshurafa, W Xu, JJ Liu, MC Huang… - IEEE Journal of …, 2013 - ieeexplore.ieee.org
Detecting human activity independent of intensity is essential in many applications, primarily
in calculating metabolic equivalent rates and extracting human context awareness. Many …
in calculating metabolic equivalent rates and extracting human context awareness. Many …
USC-HAD: A daily activity dataset for ubiquitous activity recognition using wearable sensors
M Zhang, AA Sawchuk - Proceedings of the 2012 ACM conference on …, 2012 - dl.acm.org
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 …
Sensorgan: A novel data recovery approach for wearable human activity recognition
Human activity recognition (HAR) and, more broadly, activities of daily life recognition using
wearable devices have the potential to transform a number of applications, including mobile …
wearable devices have the potential to transform a number of applications, including mobile …
Sensor-based activity recognition with dynamically added context
J Wen, S Loke, J Indulska, M Zhong - 2015 - dro.deakin.edu.au
An activity recognition system essentially processes raw sensor data and maps them into
latent activity classes. Most of the previous systems are built with supervised learning …
latent activity classes. Most of the previous systems are built with supervised learning …