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Project Kappa: an augmented-reality based sensor data crowdsourcing platform for environmental monitoring

Project Kappa: an augmented-reality based sensor data crowdsourcing platform for environmental monitoring
Project Kappa: an augmented-reality based sensor data crowdsourcing platform for environmental monitoring
Recent advancement in sensor technologies and internet of things (IoT) paved ways for the deployment of sensor networks for environmental monitoring. However, current sensor network requires the use of networking modules, such as WiFi, LoRaWan, NB-IoT or SigFox (LP-WAN), which requires higher power demand. The main feature of Project Kappa the synergy between the use of augmented reality (AR), gamification, Bluetooth and cloud-based IoT servers to crowdsource environmental sensor data acquisition. The application incentivizes users to connect their smartphones to low-powered environmental sensors via an augmented reality game. Once connected, data transmission between the sensor node and the cloud server will be made via the phone’s internet connection, reducing the need for power hungry networking modules. As a proof-of-concept, this paper describes the development of an air-quality monitoring sensor node, the augmented reality app, and its subsequent integration the cloud database. The prototype was tested with a group of 80 volunteers, demonstrating the viability of deploying the system for real world application.
17-20
IEEE
Ling, Ting Yang
c985f2ee-c76b-4559-b9ff-9bcddda8a3cb
Teh, Yee Bryan
dcd4940f-5bc4-41d4-ad51-65233d9ab261
Ting, Gerald Khing Kiat
fe228790-5210-4ad7-989c-723d8356122e
Wong, Wei Zhen
f62bdd87-f104-4c70-8757-74afaf4ed97f
Mahmood, Nasrul Humaimi
d1257b70-c812-4777-a338-3a10b771de92
Ling, Ting Yang
c985f2ee-c76b-4559-b9ff-9bcddda8a3cb
Teh, Yee Bryan
dcd4940f-5bc4-41d4-ad51-65233d9ab261
Ting, Gerald Khing Kiat
fe228790-5210-4ad7-989c-723d8356122e
Wong, Wei Zhen
f62bdd87-f104-4c70-8757-74afaf4ed97f
Mahmood, Nasrul Humaimi
d1257b70-c812-4777-a338-3a10b771de92

Ling, Ting Yang, Teh, Yee Bryan, Ting, Gerald Khing Kiat, Wong, Wei Zhen and Mahmood, Nasrul Humaimi (2021) Project Kappa: an augmented-reality based sensor data crowdsourcing platform for environmental monitoring. In 2021 IEEE International Conference on Sensors and Nanotechnology (SENNANO). IEEE. pp. 17-20 . (doi:10.1109/SENNANO51750.2021.9642575).

Record type: Conference or Workshop Item (Paper)

Abstract

Recent advancement in sensor technologies and internet of things (IoT) paved ways for the deployment of sensor networks for environmental monitoring. However, current sensor network requires the use of networking modules, such as WiFi, LoRaWan, NB-IoT or SigFox (LP-WAN), which requires higher power demand. The main feature of Project Kappa the synergy between the use of augmented reality (AR), gamification, Bluetooth and cloud-based IoT servers to crowdsource environmental sensor data acquisition. The application incentivizes users to connect their smartphones to low-powered environmental sensors via an augmented reality game. Once connected, data transmission between the sensor node and the cloud server will be made via the phone’s internet connection, reducing the need for power hungry networking modules. As a proof-of-concept, this paper describes the development of an air-quality monitoring sensor node, the augmented reality app, and its subsequent integration the cloud database. The prototype was tested with a group of 80 volunteers, demonstrating the viability of deploying the system for real world application.

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More information

e-pub ahead of print date: 20 December 2021
Venue - Dates: 2021 IEEE International Conference on Sensors and Nanotechnology, , Port Dickson, Malaysia, 2021-09-22 - 2021-09-23

Identifiers

Local EPrints ID: 485865
URI: http://eprints.soton.ac.uk/id/eprint/485865
PURE UUID: 2b8aaa63-f8db-4972-87d4-29dd71ba501e

Catalogue record

Date deposited: 03 Jan 2024 16:30
Last modified: 17 Mar 2024 06:33

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Contributors

Author: Ting Yang Ling
Author: Yee Bryan Teh
Author: Gerald Khing Kiat Ting
Author: Wei Zhen Wong
Author: Nasrul Humaimi Mahmood

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