Demo Data from SIGIR 2026 / reviewers in the wild / expert
Chia-Min Su
dblp:179/3259
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 1 first-author
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 · 53% Internet of things and sensor networks · 47% | |
| Human-computer interaction and pervasive computing
1 paper |
Collaborative and social computing · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet of things and sensor networks › LPWAN
lora |
0.3 | 1 | 2017 | A LoRa wireless smart badge for enhancing museum visitors' experience: demo abstract · IPSN 2017 |
Wireless sensing and localization
indoor localization |
0.2 | 1 | 2016 | Poster Abstract: Exploiting Temporal Variation of Received Radio Signal Strength for Indoor Human Tracking · IPSN 2016 |
Collaborative and social computing
museum experience |
0.1 | 1 | 2017 | A LoRa wireless smart badge for enhancing museum visitors' experience: demo abstract · IPSN 2017 |
Wireless sensing and localization
bluetooth beacon |
0.1 | 1 | 2016 | Poster Abstract: Exploiting Temporal Variation of Received Radio Signal Strength for Indoor Human Tracking · IPSN 2016 |
Methods — techniques the papers use, named apart from their topics
lora · 0.3LoRA · 0.3radio fingerprinting · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | A LoRa wireless smart badge for enhancing museum visitors' experience: demo abstractabstractThis paper presents a smart badge system for managing museum visitors and improving their viewing experience. The badge uses a LoRa wireless interface for two-way long-distance communication with tour guides and the museum's control center. The control center can collect information such as the visitors' viewing p, location, and status of activity level, enabling it to wirelessly send suggestions of exhibits and visiting paths to visitors, avoiding the overcrowding of visitors in one location. Meanwhile, visitors can communicate with the control center to update their locations and ask simple questions via the badge. In this paper, we introduce the system architecture and the prototype smart badge that we used to evaluate the performance of this system. Chia-Min Su, Cheng-Yu Shi, Yong-Lin Wu, Warren Huang-Chen Lee |
IPSN | 1 |
| 2016 | Poster Abstract: Exploiting Temporal Variation of Received Radio Signal Strength for Indoor Human TrackingabstractIndoor positioning is one of the key technologies for enabling location-aware applications. To the best of our knowledge, existing indoor positioning technologies are aimed at providing very high-accuracy location information, but are hindered by the need of a infrastructure with high installation and maintenance costs. In addition, their accuracy is usually highly variable and vulnerable to environmental changes or external interference. Thus, for applications of indoor human tracking, the practical considerations of choosing a suitable indoor positioning technique should be to provide adequate accuracy while also being economical. Based on this observation, our study presents an indoor, room-level tracking method characterized by an infrastructure with low costs to build and maintain. The user carries a mobile device that can determine his/her location with the help of Bluetooth beacons installed at the intersections between rooms and hallways. In contrast to traditional radio-fingerprint map and proximity approaches, in this study the mobile device tracks the user's moving direction and the temporal variation of the radio signal strength from nearby Bluetooth beacons, to determine when the device enters or leaves a given room or hallway. Therefore, by determining the sequence of a user's movements, his/her moving path can be recorded for indoor tracking or navigation. Tzu-Ting Lin, Chun-Ju Lin, Chia-Min Su, Yi-Chun Lin, Warren Huang-Chen Lee |
IPSN | 3 |