A review and taxonomy of activity recognition on mobile phones
The release of smart phones equipped with a rich set of sensors has enabled human activity
recognition on mobile platforms. Monitoring the daily activities and their levels helps in …
recognition on mobile platforms. Monitoring the daily activities and their levels helps in …
[HTML][HTML] Mining personal data using smartphones and wearable devices: A survey
The staggering growth in smartphone and wearable device use has led to a massive scale
generation of personal (user-specific) data. To explore, analyze, and extract useful …
generation of personal (user-specific) data. To explore, analyze, and extract useful …
Complex daily activities, country-level diversity, and smartphone sensing: A study in denmark, italy, mongolia, paraguay, and uk
Smartphones enable understanding human behavior with activity recognition to support
people's daily lives. Prior studies focused on using inertial sensors to detect simple activities …
people's daily lives. Prior studies focused on using inertial sensors to detect simple activities …
A comparative study of feature selection approaches for human activity recognition using multimodal sensory data
Human activity recognition (HAR) aims to recognize the actions of the human body through
a series of observations and environmental conditions. The analysis of human activities has …
a series of observations and environmental conditions. The analysis of human activities has …
Towards next-generation heterogeneous mobile data stream mining applications: Opportunities, challenges, and future research directions
The convergence of Internet of Things (IoTs), mobile computing, cloud computing, edge
computing and big data has brought a paradigm shift in computing technologies. New …
computing and big data has brought a paradigm shift in computing technologies. New …
Rank pooling approach for wearable sensor-based ADLs recognition
This paper addresses wearable-based recognition of Activities of Daily Living (ADLs) which
are composed of several repetitive and concurrent short movements having temporal …
are composed of several repetitive and concurrent short movements having temporal …
Use of tri‐axial accelerometers to assess terrestrial mammal behaviour in the wild
Tri‐axial accelerometer tags provide quantitative data on body movement that can be used
to characterize behaviour and understand species ecology in ways that would otherwise be …
to characterize behaviour and understand species ecology in ways that would otherwise be …
Incremental learning based on growing gaussian mixture models
A Bouchachia, C Vanaret - 2011 10th International Conference …, 2011 - ieeexplore.ieee.org
Incremental learning aims at equipping data-driven systems with self-monitoring and self-
adaptation mechanisms to accommodate new data in an online setting. The resulting model …
adaptation mechanisms to accommodate new data in an online setting. The resulting model …
An improved three-stage classifier for activity recognition
E Garcia-Ceja, RF Brena - International Journal of Pattern …, 2018 - World Scientific
Recently, Human Activity Recognition (HAR) has become an important research area
because of its wide range of applications in several domains such as health care, elder care …
because of its wide range of applications in several domains such as health care, elder care …
[图书][B] Lifelogging for organizational stress measurement: Theory and Applications
In today's society, stress is one of the most prevalent phenomena affecting people both in
private life and working environments. Despite the fact that academic research has revealed …
private life and working environments. Despite the fact that academic research has revealed …