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Dianhe Han

dblp:252/3584 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
2 papers
Wireless sensing and localization · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless sensing and localization
device-free sensing
0.822019
Towards wide-area contactless human sensing: poster abstract · SenSys 2019
WideSee: towards wide-area contactless wireless sensing · SenSys 2019
Wireless sensing and localization › device-free sensing
wide-area sensing
0.822019
Towards wide-area contactless human sensing: poster abstract · SenSys 2019
WideSee: towards wide-area contactless wireless sensing · SenSys 2019
Wireless sensing and localization › target sensing
target detection and localization
0.222019
Towards wide-area contactless human sensing: poster abstract · SenSys 2019
WideSee: towards wide-area contactless wireless sensing · SenSys 2019

Methods — techniques the papers use, named apart from their topics

lora · 0.8drone mobility · 0.8
YearPublicationVenuePosition
2019 WideSee: towards wide-area contactless wireless sensing
abstract
Contactless wireless sensing without attaching a device to the target has achieved promising progress in recent years. However, one severe limitation is the small sensing range. This paper presents WideSee to realize wide-area sensing with only one transceiver pair. WideSee utilizes the LoRa signal to achieve a larger range of sensing and further incorporates drone's mobility to broaden the sensing area. WideSee presents solutions across software and hardware to overcome two aspects of challenges for wide-range contactless sensing: (i) the interference brought by the device mobility and LoRa's high sensitivity; and (ii) the ambiguous target information such as location when employing just a single pair of transceivers. We have developed a working prototype of WideSee for human target detection and localization that are especially useful in emergency scenarios such as rescue search, and evaluated WideSee with both controlled experiments and the field study in a high-rise building. Extensive experiments demonstrate the great potential of WideSee for wide-area contactless sensing with a single LoRa transceiver pair hosted on a drone.
Jie Xiong 0001, Xiaojiang Chen, Sunghoon Ivan Lee, Dianhe Han, Dingyi Fang, Zhanyong Tang, Zheng Wang 0001
SenSys6
2019 Towards wide-area contactless human sensing: poster abstract
abstract
Contactless wireless sensing without attaching a device to the target has achieved promising progress in recent years. However, one severe limitation in this field is the limited sensing range. This paper presents WideSee to realize wide-area sensing with only one transceiver pair. WideSee utilizes the LoRa signal to achieve a larger range of sensing and further incorporates drone's mobility to broaden the sensing area. We have developed a working prototype of WideSee for human target detection and localization that are especially useful in emergency scenarios like rescue and terrorist search. We also evaluated WideSee with field study in a high-rise building, which demonstrates the great potential of WideSee for supporting wide-area contactless sensing applications with a single LoRa transceiver pair hosted on a drone.
Dianhe Han, Jie Xiong 0001, Sunghoon Ivan Lee, Xiaojiang Chen, Zhanyong Tang, Dingyi Fang, Zheng Wang 0001
SenSys3