Demo Data from VLDB 2026 / reviewers in the wild / expert
Rishi Shukla
dblp:208/2406
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 2 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.
| Human-computer interaction and pervasive computing
2 papers |
Wearable and physiological sensing · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Energy-efficient computing · 100% | |
| Computer networks
2 papers |
Internet of things and sensor networks · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wearable and physiological sensing › energy-efficient sensing
batteryless wearable sensors |
0.8 | 2 | 2019 | Enabling battery-less wearable sensors via intra-body power transfer: demo abstract · SenSys 2019 SkinnyPower: enabling batteryless wearable sensors via intra-body power transfer · SenSys 2019 |
Energy-efficient computing › power delivery
wireless power transfer |
0.4 | 1 | 2019 | SkinnyPower: enabling batteryless wearable sensors via intra-body power transfer · SenSys 2019 |
Internet of things and sensor networks
wireless body area network |
0.2 | 2 | 2019 | Enabling battery-less wearable sensors via intra-body power transfer: demo abstract · SenSys 2019 SkinnyPower: enabling batteryless wearable sensors via intra-body power transfer · SenSys 2019 |
Methods — techniques the papers use, named apart from their topics
capacitive coupling · 1.9impedance matching · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | SkinnyPower: enabling batteryless wearable sensors via intra-body power transferabstractIn this work, we present SkinnyPower, a technology for Intra-Body Power Transfer (IBPT) that wirelessly transfers power through human skin to operate batteryless wearable sensors. We envision a scenario, in which batteryless sensors placed on small body parts (e.g., on-finger, in-ear, and in-mouth) can obtain operating power from another body-worn energy sources (e.g., already existing battery-powered wearable devices such as a smartwatch or a BandAid-like battery patch attached to the neck). The key technical challenges in realizing this vision include 1) providing a robust return path in the body channel - where the forward (power signal) and return (ground) paths are not explicitly defined - using implicit capacitances formed between the devices and earth ground, and 2) achieving reliable operation despite variations in capacitive coupling between the skin and devices, devices and earth ground, and conductance of the subdermal layer. We identify and optimize critical system design parameters to maximize the power transfer between a transmitter and a receiver with the capacitively coupled return path. To demonstrate and validate the concept of IBPT, we implemented a prototype consisting of 1) a wrist-worn, battery-equipped power transmitter that sends alternating current through the human body and 2) a finger-worn, batteryless sensor device that operates solely on body-transferred power. Evaluations on five subjects show that we can reliably support the power of approximately 1 mW, which can be used to operate an embedded system, continuously collect sensor (e.g. accelerometer) data, and wirelessly transfer the collected data in real-time using Bluetooth Low Energy. Moreover, we achieve a power transfer rate of 14.5% between the transmitter and receiver, which is significantly higher than other wireless power transfer techniques such as RFID. We believe that the proposed system has great potential to transform current architectures and designs for body-area networks, promoting the development of innovative on-body sensors that would otherwise not be possible with on-device batteries. Rishi Shukla, Neev Kiran, Rui Wang 0003, Jeremy Gummeson, Sunghoon Ivan Lee |
SenSys | 1 |
| 2019 | Enabling battery-less wearable sensors via intra-body power transfer: demo abstractabstractIn this work, we present SkinnyPower, a concept of Intra-Body Power Transfer (IBPT) that wirelessly transfers power through human skin to operate batteryless wearable sensors. We envision a scenario, in which batteryless sensors placed on small body parts (e.g., on-finger, in-ear, and in-mouth) can obtain operating power from another body-worn energy sources (e.g., already existing battery-powered wearable devices such as a smartphone, smartwatch, or BandAid-like battery patch attached to the neck). To demonstrate and validate the concept of IBPT, we implemented a prototype consisting of 1) a wrist-worn, battery-powered power transmitter that sends alternating current through the human body and 2) a finger-worn, batteryless sensor device that operates solely on body-transferred power. Evaluations on five subjects show that we can reliably support the power of approximately 1 mW, which can be used to operate an embedded system, continuously collect sensor (accelerometer) data, and wirelessly transfer the collected data in real-time using Bluetooth Low Energy. We believe that the proposed system has great potential to transform current architectures and designs for body-area networks, promoting the development of innovative on-body sensors that would otherwise not be possible with on-device batteries. Rishi Shukla, Neev Kiran, Rui Wang 0003, Jeremy Gummeson, Sunghoon Ivan Lee |
SenSys | 1 |