scholarly journals Rapid clock synchronisation for ubiquitous sensing services involving multiple smartphones

2017 ◽  
Author(s):  
Chu Luo ◽  
Henri Koski ◽  
Mikko Korhonen ◽  
Jorge Goncalves ◽  
Theodoros Anagnostopoulos ◽  
...  
Keyword(s):  
Ubiquitous Sensing ◽  
Clock Synchronisation

Deep AI Enabled Ubiquitous Wireless Sensing

2021 ◽  
Vol 54 (2) ◽  
pp. 1-35
Author(s):  
Chenning Li ◽  
Zhichao Cao ◽  
Yunhao Liu
Keyword(s):  
Great Success ◽  
Wireless Sensing ◽  
Ubiquitous Sensing ◽  
Sensing Systems ◽  
The Status ◽  
Sensing Model ◽  
High Level ◽  
Traditional Approaches ◽  
The Internet Of Things ◽  
High Level Feature

With the development of the Internet of Things (IoT), many kinds of wireless signals (e.g., Wi-Fi, LoRa, RFID) are filling our living and working spaces nowadays. Beyond communication, wireless signals can sense the status of surrounding objects, known as wireless sensing , with their reflection, scattering, and refraction while propagating in space. In the last decade, many sophisticated wireless sensing techniques and systems were widely studied for various applications (e.g., gesture recognition, localization, and object imaging). Recently, deep Artificial Intelligence (AI), also known as Deep Learning (DL), has shown great success in computer vision. And some works have initially proved that deep AI can benefit wireless sensing as well, leading to a brand-new step toward ubiquitous sensing. In this survey, we focus on the evolution of wireless sensing enhanced by deep AI techniques. We first present a general workflow of Wireless Sensing Systems (WSSs) which consists of signal pre-processing, high-level feature, and sensing model formulation. For each module, existing deep AI-based techniques are summarized, further compared with traditional approaches. Then, we provide a view of issues and challenges induced by combining deep AI and wireless sensing together. Finally, we discuss the future trends of deep AI to enable ubiquitous wireless sensing.

scholarly journals Introducing the Special Issue on “Ubiquitous Sensing for Smart Health Monitoring”

Information ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 74
Author(s):  
Yusuf A. Bhagat
Keyword(s):  
Health Monitoring ◽  
Special Issue ◽  
Ubiquitous Sensing ◽  
Smart Health

Sensors continue to pervade our surroundings in undiminished ways [...]

FLOPSYNC-2: Efficient Monotonic Clock Synchronisation

2014 ◽  
Author(s):  
Federico Terraneo ◽  
Luigi Rinaldi ◽  
Martina Maggio ◽  
Alessandro Vittorio Papadopoulos ◽  
Alberto Leva
Keyword(s):  
Clock Synchronisation

SonicFace

2021 ◽  
Vol 5 (4) ◽  
pp. 1-33
Author(s):  
Yang Gao ◽  
Yincheng Jin ◽  
Seokmin Choi ◽  
Jiyang Li ◽  
Junjie Pan ◽  
...  
Keyword(s):  
Facial Expressions ◽  
Microphone Array ◽  
Wearable Sensors ◽  
Real Life ◽  
Privacy Concerns ◽  
Fine Grained ◽  
Recognition Of Facial Expressions ◽  
Ubiquitous Sensing ◽  
Contact Free

Accurate recognition of facial expressions and emotional gestures is promising to understand the audience's feedback and engagement on the entertainment content. Existing methods are primarily based on various cameras or wearable sensors, which either raise privacy concerns or demand extra devices. To this aim, we propose a novel ubiquitous sensing system based on the commodity microphone array --- SonicFace, which provides an accessible, unobtrusive, contact-free, and privacy-preserving solution to monitor the user's emotional expressions continuously without playing hearable sound. SonicFace utilizes a pair of speaker and microphone array to recognize various fine-grained facial expressions and emotional hand gestures by emitted ultrasound and received echoes. Based on a set of experimental evaluations, the accuracy of recognizing 6 common facial expressions and 4 emotional gestures can reach around 80%. Besides, the extensive system evaluations with distinct configurations and an extended real-life case study have demonstrated the robustness and generalizability of the proposed SonicFace system.

scholarly journals A Model of Guarded Recursion With Clock Synchronisation

2015 ◽  
Vol 319 ◽  
pp. 83-101 ◽  
Author(s):  
Aleš Bizjak ◽  
Rasmus Ejlers Møgelberg
Keyword(s):  
Clock Synchronisation

Evaluation of Strategic Opportunities and Resulting Business Models for SMEs

2020 ◽  
pp. 148-186 ◽  
Author(s):  
Izabella V. Lokshina ◽  
Cees J. M. Lanting ◽  
Barbara Durkin
Keyword(s):  
Business Models ◽  
Management Practices ◽  
Environmental Indicators ◽  
Third Party ◽  
Easy Access ◽  
The Internet ◽  
Knowledge Based ◽  
Ubiquitous Sensing ◽  
Provision Of Services ◽  
And Control

This chapter focuses on ubiquitous sensing devices, enabled by Wireless Sensor Network (WSN) technologies, that cut across every area of modern day living, affecting individuals and businesses and offering the ability to measure and understand environmental indicators. The proliferation of these devices in a communicating-actuating network creates the internet of things (IoT). The IoT provides the tools to establish a major global data-driven ecosystem with its emphasis on Big Data. Currently, business models may focus on the provision of services, i.e., the internet of services (IoS). These models assume the presence and development of the necessary IoT measurement and control instruments, communications infrastructure, and easy access to the data collected and information generated. Different business models may support creating revenue and value for different types of customers. This chapter contributes to the literature by considering, innovatively, knowledge-based management practices, strategic opportunities and resulting business models for third-party data analysis services.

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