
Challenges of the Internet of Things
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Content
- Cover
- Half-Title Page
- Title Page
- Copyright Page
- Contents
- Introduction
- 1. Internet of Things (IoT): Concepts, Issues, Challenges and Perspectives
- 1.1. Introduction
- 1.2. The connected object (CO)
- 1.3. Internet of Things: definition
- 1.3.1. Applications
- 1.4. Steps and technologies in the IoT ecosystem
- 1.4.1. IoT architecture
- 1.5. From the IoT to the Internet of Everything (IoE)
- 1.6. IoT and Big Data
- 1.7. Cloud computing applied to Big Data and the IoT
- 1.8. Data science and the IoT
- 1.9. Stakes and challenges of the IoT
- 1.9.1. Technological challenges
- 1.9.2. Societal challenges
- 1.9.3. Environmental challenges
- 1.9.4. Confidence in the IoT
- 1.9.5. Challenges for businesses
- 1.9.6. Challenges for researchers
- 1.10. Opportunities and threats in the IoT ecosystem
- 1.11. IoT security
- 1.12. Blockchain and the IoT
- 1.12.1. Definition
- 1.12.2. Operation
- 1.12.3. Applications
- 1.13. Conclusion
- 1.14. References
- 2. Deep Learning Approach of Raw Human Activity Data
- 2.1. Introduction
- 2.2. State of the art
- 2.3. Experimental configuration
- 2.4. Analysis of the activity
- 2.4.1. Neural network architecture
- 2.5. Results
- 2.6. Discussion
- 2.7. Conclusion
- 2.8. References
- 3. Study and Development of a Smart Cup for Monitoring Post-stroke Patients' Activities at Home
- 3.1. Introduction
- 3.2. Related work
- 3.2.1. Upper limbs motor assessment tools
- 3.2.2. New platforms for stroke assessment
- 3.2.3. Activity analysis and monitoring
- 3.2.4. Tasks and rehabilitation exercises for strokes
- 3.3. Design concept
- 3.3.1. Task identification
- 3.3.2. Monitored information
- 3.3.3. Sensory feedback
- 3.4. Implementation of the prototype
- 3.4.1. Grasping force detection
- 3.4.2. Liquid level detection
- 3.4.3. Orientation detection
- 3.4.4. Relative position detection
- 3.5. Data processing
- 3.5.1. Orientation calculation
- 3.5.2. Tremor detection
- 3.5.3. Activity recognition
- 3.6. Planned studies
- 3.6.1. Studies with therapists
- 3.6.2. Studies with patients
- 3.7. Conclusion and perspectives
- 3.8. References
- 4. Enabling Fast-prototyping of Connected Things using the WiNo* Family
- 4.1. Introduction
- 4.2. Context
- 4.3. State of the art
- 4.4. Introducing the WiNo* family
- 4.4.1. WiNoRF22 and TeensyWiNo
- 4.4.2. WiNoLoRa
- 4.4.3. DecaWiNo
- 4.4.4. Summary of WiNo nodes
- 4.5. Results and examples of use
- 4.5.1. WiNo and TeensyWiNo
- 4.5.2. WiNoLoRa
- 4.5.3. DecaWiNo
- 4.5.4. Summary and comparative analysis
- 4.6. Conclusion and outlook
- 4.7. Acknowledgments
- 4.8. References
- 5. Multi-standard Receiver for Medical IoT Sensor Networks
- 5.1. Introduction
- 5.2. General context
- 5.2.1. OFDM
- 5.2.2. Characteristics of IEEE 802.11a/b/g/n/ac standards
- 5.3. The IEEE 802.15.6 standard
- 5.3.1. The WBAN frame
- 5.3.2. Specificities of the WBAN physical layer
- 5.4. Physical layer design
- 5.4.1. Frame synchronization
- 5.4.2. Frequency synchronization
- 5.4.3. Time synchronization
- 5.5. Simulation results
- 5.6. Conclusion
- 5.7. References
- 6. Ambient Atoms: a Device for Ambient Information Visualization
- 6.1. Introduction
- 6.2. Previous research
- 6.2.1. Dedicated ambient displays that do not integrate a display screen
- 6.2.2. Generic ambient displays that do not include a display screen
- 6.3. Ambient Atoms: user's point of view
- 6.4. Ambient Atoms: hardware and software components
- 6.4.1. Hardware: microcontroller
- 6.4.2. Hardware: LEDs
- 6.4.3. Software
- 6.5. Ambient Atoms: prototype applied to the housing information visualization
- 6.6. Future research and conclusion
- 6.7. Acknowledgments
- 6.8. References
- 7. New Robust Protocol for IoV Communications
- 7.1. Introduction
- 7.2. Latest developments
- 7.2.1. Architecture of the IoV
- 7.2.2. Communication obstacles
- 7.2.3. Related work
- 7.3. Multi-criterion routing protocol
- 7.3.1. Applications and services
- 7.3.2. Multi-criterion routing protocols in IoV communications
- 7.4. Conclusion and perspectives
- 7.5. References
- 8. Interconnected Virtual Space and Theater: A Research-Creation Project on Theatrical Performance Space in the Network Era
- 8.1. Introduction
- 8.2. A multidisciplinary experiment involving live performance and digital art
- 8.2.1. Defining avatar and mocaptor
- 8.2.2. System description
- 8.2.3. From Kinect to Perception Neuron: a new mobility
- 8.3. Acting relationship between the mocaptor and the avatar
- 8.3.1. Controlling the avatar's spatial disposition
- 8.3.2. The mocaptor's reference space: the Ninja Theory example
- 8.3.3. A closer look at the articulation of the reference spaces
- 8.3.4. Mobility of the mocaptor in their performance space
- 8.4. From mocaptor to avatar from a technical perspective
- 8.4.1. Two-stage motion retargeting
- 8.4.2. Avatar movement: combination of multiple sources
- 8.4.3. Combination with independent behavior: pathfinding
- 8.4.4. An architecture oriented toward interconnected objects
- 8.5. A practical application that raises new questions
- 8.5.1. New experimentation spaces for actors, directors and digital artists
- 8.5.2. The problem of visual composition for augmented scenes
- 8.5.3. Redefining the role of the digital artist
- 8.6. Conclusion
- 8.7. References
- 9. Mobile Telephones and Mobile Health: a Societal Question Under Debate in the Public Domain
- 9.1. Introduction
- 9.2. An interdisciplinary activity sector and field of research: between connected health and connected well-being
- 9.3. "Boundary objects", socioeconomic strategies and innovative forms of sociotechnical mediation in equipped mobility
- 9.4. Mobile health-care service access systems: toward intermediation or disintermediation?
- 9.5. Forms of regulation of mobile health-care access: a legal, technical and sociopolitical issue under debate
- 9.6. Conclusion and new avenues of research
- 9.7. References
- 10. Modeling Power to Act for an Ethics of the Internet of Things
- 10.1. Introduction
- 10.2. Principles of ethical modeling
- 10.2.1. Theoretical principles
- 10.2.2. Graphic principles
- 10.3. Calculating the complexity of an ecosystem
- 10.3.1. Existential complexity
- 10.3.2. Comparing the complexity of points of view
- 10.4. Automatic ecosystem enrichment
- 10.4.1. Constitution of raw data corpus
- 10.4.2. Transformation of raw data
- 10.5. Conclusion
- 10.6. References
- List of Authors
- Index
- Other titles from iSTE in Information Systems, Web and Pervasive Computing
- EULA
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