Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Introduction Kapitel lesen Erstes Kapitel lesen

2022 | OriginalPaper | Buchkapitel

5. Case Studies

verfasst von : Jiannong Cao, Yanni Yang

Erschienen in: Wireless Sensing

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In this chapter, we showcase several case studies in applying wireless sensing to critical sensing applications and present our solutions to tackle the key challenges involved in these application scenarios, including human respiration monitoring, human and object indoor localization, and liquid fraud detection.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Wireless Sensing Methodologies
Nächstes Kapitel Conclusion
Fußnoten
1
In our implementation of STFT, the length of the segment is set to 512 sampling points, and the size of FFT is 2048 after zero-padding.
 
2
The acoustic resonance phenomenon will rarely happen for our case since the resonant frequencies of liquids are around gigahertz-level, while the sound we transmit is in the 18–20 KHz frequency band.
 
3
“etha” and “isop” in Fig. 5.72b, c are the abbreviations of the ethanol and isopropanol, respectively. (r) refers to the random mixture.
 
4
We find our method does not work when the honey experiences crystallization because the honey components change in this process.
 
Literatur
1.
Adib F et al (2015) Smart homes that monitor breathing and heart rate. In: Proceedings of the 33rd annual ACM conference on human factors in computing systems, pp 837–846
2.
Ali Tayaranian Hosseini SM, Amindavar H (2017) UWB radar signal processing in measurement of heartbeat features. In: IEEE international conference on acoustics, speech and signal processing, pp 1004–1007
3.
4.
Bechbache RR, Duffin J (1977) The entrainment of breathing frequency by exercise rhythm. J Physiol 272(3):553–561CrossRef
5.
Benchetrit G (2000) Breathing pattern in humans: diversity and individuality. Respir. Physiol. 122(2–3):123–129CrossRef
6.
Bernasconi P, Kohi J (1993) Analysis of co-ordination between breathing and exercise rhythms in man. J Physiol 471(1):693–706CrossRef
7.
Bramble DM, Carrier DR (1983) Running and breathing in mammals. Science 219(4582):251–256CrossRef
8.
Bu Y et al (2020) RF-dial: rigid motion tracking and touch gesture detection for interaction via RFID tags. IEEE Trans Mobile Comput 21:1061–1080CrossRef
9.
Dhekne A et al (2018) Liquid: a wireless liquid identifier. In: Proceedings of the 16th annual international conference on mobile systems, applications, and services, pp 442–454
10.
Ding H et al (2015) Femo: a platform for free-weight exercise monitoring with RFIDs. In: Proceedings of the 13th ACM conference on embedded networked sensor systems, pp 141–154
11.
Ha U et al (2020) Food and liquid sensing in practical environments using RFIDs. In 17th USENIX symposium on networked systems design and implementation, pp 1083–1100
12.
Hao T (2015) RunBuddy: a smartphone system for running rhythm monitoring. In: Proceedings of the ACM international joint conference on pervasive and ubiquitous computing, pp 133–144
13.
Jha SN et al (2016) Detection of adulterants and contaminants in liquid foodsa review. Crit Rev Food Sci Nutrition 56(10):1662–1684CrossRef
14.
Ji T, Pachi A (2005) Frequency and velocity of people walking. Struct Eng 84(3):36–40
15.
Lee H et al (2015) Chirp signal-based aerial acoustic communication for smart devices. In: IEEE conference on computer communications, pp 2407–2415
16.
Liu X et al (2014) Wi-sleep: contactless sleep monitoring via wifi signals. In IEEE real-time systems symposium, pp 346–355
17.
Liu J et al (2015) Tracking vital signs during sleep leveraging off-the-shelf wifi. In: Proceedings of the 16th ACM international symposium on mobile Ad Hoc networking and computing, pp 267–276
18.
19.
McDermott WJ et al (2003) Running training and adaptive strategies of locomotor-respiratory coordination. Eur J Appl Physiol 89(5):435–444CrossRef
20.
Morse PM et al (1940) Acoustic impedance and sound absorption. J Acoust Soc Am 12(2):217–227CrossRef
21.
Nikitin PV et al (2010) Phase based spatial identification of UHF RFID tags. In: IEEE international conference on RFID, pp 102–109
22.
Oppenheim AV et al (1989) Sampling of continuous-time signals. Discrete-time signal processing, vol 879. Prentice Hall, Hoboken
23.
Persegol L et al (1991) Evidence for the entrainment of breathing by locomotor pattern in human. J Physiol 85(1):38–43
24.
Piechowicz J (2011) Sound wave diffraction at the edge of a sound barrier. Acta Physica Polonica, A. 119, pp 1040–1045CrossRef
25.
Recinto C et al (2017) Effects of nasal or oral breathing on anaerobic power output and metabolic responses. Int J Exercise Sci 10(4):506
26.
Richard GL (2004) Understanding digital signal processing, 3/E. Pearson Education India, Chennai
27.
Rosen S, Howell P (2011) Signals and systems for speech and hearing, vol 29. Emerald, Bingley
28.
Scholkmann F et al (2012) An efficient algorithm for automatic peak detection in noisy periodic and quasi-periodic signals. Algorithms 5(4):588–603CrossRef
29.
Scott Kelso JA (1995) Dynamic patterns: the self-organization of brain and behavior. Lecture notes in complex systems. MIT Press, Cambridge
30.
Shafiq G, Veluvolu KC (2014) Surface chest motion decomposition for cardiovascular monitoring. Sci Rep 4(1):1–9
31.
Wang Y, Zheng Y (2018) Modeling RFID signal reflection for contact-free activity recognition. Proc ACM Interact Mobile Wearable Ubiq Technol 2(4):1–22
32.
Wang Y, Zheng Y (2019) TagBreathe: monitor breathing with commodity RFID systems. IEEE Trans Mobile Comput 19(4):969–981CrossRef
33.
Wang H et al (2016) Human respiration detection with commodity wifi devices: do user location and body orientation matter? In: Proceedings of the 2016 ACM international joint conference on pervasive and ubiquitous computing, pp 25–36
34.
Wang X et al (2017) PhaseBeat: exploiting CSI phase data for vital sign monitoring with commodity WiFi devices. In: IEEE 37th international conference on distributed computing systems, pp 1230–1239
35.
Wang X et al (2017) TensorBeat: tensor decomposition for monitoring multiperson breathing beats with commodity WiFi. ACM Trans Intell Syst Technol 9(1):1–27CrossRef
36.
Xie Y et al (2018) Precise power delay profiling with commodity Wi-Fi. IEEE Trans Mobile Comput 18(6):1342–1355CrossRef
37.
Xie B et al (2019) Tagtag: material sensing with commodity RFID. In: Proceedings of the 17th conference on embedded networked sensor systems, pp 338–350
38.
Yang C et al (2014) AutoTag: recurrent variational autoencoder for unsupervised apnea detection with RFID tags. In: IEEE global communications conference, pp 1–7
39.
Yang L et al (2014) Tagoram: real-time tracking of mobile RFID tags to high precision using COTS devices. In: Proceedings of the 20th annual international conference on Mobile computing and networking, pp 237–248
40.
Zhang L et al (2018) Wi-run: multi-runner step estimation using commodity Wi-Fi. In: 15th annual IEEE international conference on sensing, communication, and networking, pp 1–9
41.
Zhao R et al. (2018) CRH: a contactless respiration and heartbeat monitoring system with COTS RFID tags. In: 15th annual IEEE international conference on sensing, communication, and networking, pp 1–9
42.
Zhu J et al (2014) RSSI based bluetooth low energy indoor positioning. In: International conference on indoor positioning and indoor navigation, pp 526–533
Metadaten
Titel
Case Studies
verfasst von
Jiannong Cao
Yanni Yang
Copyright-Jahr
2022
Buch
Wireless Sensing

Print ISBN: 978-3-031-08344-0

Electronic ISBN: 978-3-031-08345-7

Copyright-Jahr: 2022

DOI
https://doi.org/10.1007/978-3-031-08345-7_5

Premium Partner

    Bildnachweise