A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities
Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
Human activity recognition using inertial, physiological and environmental sensors: A comprehensive survey
In the last decade, Human Activity Recognition (HAR) has become a vibrant research area,
especially due to the spread of electronic devices such as smartphones, smartwatches and …
especially due to the spread of electronic devices such as smartphones, smartwatches and …
[HTML][HTML] Human activity recognition using inertial sensors in a smartphone: An overview
The ubiquity of smartphones and the growth of computing resources, such as connectivity,
processing, portability, and power of sensing, have greatly changed people's lives. Today …
processing, portability, and power of sensing, have greatly changed people's lives. Today …
A survey on activity detection and classification using wearable sensors
Activity detection and classification are very important for autonomous monitoring of humans
for applications, including assistive living, rehabilitation, and surveillance. Wearable sensors …
for applications, including assistive living, rehabilitation, and surveillance. Wearable sensors …
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 …
Energy efficiency in wireless sensor networks: A top-down survey
T Rault, A Bouabdallah, Y Challal - Computer networks, 2014 - Elsevier
The design of sustainable wireless sensor networks (WSNs) is a very challenging issue. On
the one hand, energy-constrained sensors are expected to run autonomously for long …
the one hand, energy-constrained sensors are expected to run autonomously for long …
Deepear: robust smartphone audio sensing in unconstrained acoustic environments using deep learning
Microphones are remarkably powerful sensors of human behavior and context. However,
audio sensing is highly susceptible to wild fluctuations in accuracy when used in diverse …
audio sensing is highly susceptible to wild fluctuations in accuracy when used in diverse …
Smartphone sensing methods for studying behavior in everyday life
Highlights•Smartphone Sensing Methods (SSMs) permit continuous and real-time
behavioral observation in the context of people's daily lives.•SSMs provide objective …
behavioral observation in the context of people's daily lives.•SSMs provide objective …
The smartphone psychology manifesto
G Miller - Perspectives on psychological science, 2012 - journals.sagepub.com
By 2025, when most of today's psychology undergraduates will be in their mid-30s, more
than 5 billion people on our planet will be using ultra-broadband, sensor-rich smartphones …
than 5 billion people on our planet will be using ultra-broadband, sensor-rich smartphones …
A survey of mobile phone sensing
Mobile phones or smartphones are rapidly becoming the central computer and
communication device in people's lives. Application delivery channels such as the Apple …
communication device in people's lives. Application delivery channels such as the Apple …