“Black Magic 5G Sidelink”: Transparently Extending Short-Range Black-Box Wearable Sensors to a Wide Area via 5G Sidelink

Human motion capture has various use cases such as digital twinning. Most wearable sensing devices to capture data employ short-range wireless protocols such as serial communications over Bluetooth Low Energy (BLE) to satisfy the requirement of low power consumption. On the other hand, the short-range wireless communications limit the applications of human motion capture since digital twinning is often considered more useful in a wide area, e.g., capturing motions of sports players in a large stadium, etc. However, the problem is that replacing BLE with 5G for the existing sensors is not favorable for developers due to the additional cost of re-designing the system, not to mention that it is infeasible for end-users as the sensor protocol is proprietary. In order to overcome this challenge, we propose “black-magic 5G Sidelink” to extend the range of the existing human motion capture sensing system with serial communications via BLE, “transparently” tunneling the black-box sensor protocols over 5G. Our contributions are threefold. First, we propose a viable architecture of transparent extension of any existing BLE serial sensor systems to a wide area. Second, we actually implement the proposed system. Third, our evaluation reveals that the captured data from many people can be efficiently acquired with a low latency of about 40 msec over a wide area, and thus shows the feasibility of transparently extending short-range black-box wearable sensors to a wide area via 5G Sidelink by our proposal.

Authors

Institutions

Publication Details

Journal
IEICE Communications Express
Published
2024-09-10
DOI
https://doi.org/10.23919/comex.2024xbl0143
Citations
1
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

“Black Magic 5G Sidelink”: Transparently Extending Short-Range Black-Box Wearable Sensors to a Wide Area via 5G Sidelink

Akihiro Nakao, Makoto Nomura
1 citations
IEICE Communications Express
IoT and Edge/Fog Computing
0.35
article

“Black Magic 5G Sidelink”: Transparently Extending Short-Range Black-Box Wearable Sensors to a Wide Area via 5G Sidelink

Akihiro Nakao, Makoto Nomura
article en
1 citations

Abstract

Human motion capture has various use cases such as digital twinning. Most wearable sensing devices to capture data employ short-range wireless protocols such as serial communications over Bluetooth Low Energy (BLE) to satisfy the requirement of low power consumption. On the other hand, the short-range wireless communications limit the applications of human motion capture since digital twinning is often considered more useful in a wide area, e.g., capturing motions of sports players in a large stadium, etc. However, the problem is that replacing BLE with 5G for the existing sensors is not favorable for developers due to the additional cost of re-designing the system, not to mention that it is infeasible for end-users as the sensor protocol is proprietary. In order to overcome this challenge, we propose “black-magic 5G Sidelink” to extend the range of the existing human motion capture sensing system with serial communications via BLE, “transparently” tunneling the black-box sensor protocols over 5G. Our contributions are threefold. First, we propose a viable architecture of transparent extension of any existing BLE serial sensor systems to a wide area. Second, we actually implement the proposed system. Third, our evaluation reveals that the captured data from many people can be efficiently acquired with a low latency of about 40 msec over a wide area, and thus shows the feasibility of transparently extending short-range black-box wearable sensors to a wide area via 5G Sidelink by our proposal.

IEICE Communications ExpressVol. 13(11)
The University of Tokyo (JP)
Openalex Percentile: Top 39%
IoT and Edge/Fog Computing
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.