| Author |
Session |
Start page |
Title |
A A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| Abbas, Moustafa |
S6.2 |
232 |
WiDeep:WiFi-based Accurate and Robust Indoor Localization System using Deep Learning |
| Ahmetovic, Dragan |
S8.4 |
332 |
Sonification of Rotation Instructions to Support Navigation of People with Visual Impairment |
| Anxin, Zhou |
S2.2 |
43 |
Aggregating Crowd Wisdom via Blockchain: A Private, Correct, and Robust Realization |
| Arakawa, Yutaka |
S6.1 |
222 |
EHAAS: Energy Harvesters As A Sensor for Place Recognition on Wearables |
| Asokan, N. |
S2.4 |
63 |
DoubleEcho: Mitigating Context-Manipulation Attacks in Copresence Verification |
| Au, Man Ho |
S2.2 |
43 |
Aggregating Crowd Wisdom via Blockchain: A Private, Correct, and Robust Realization |
| Avanzini, Federico |
S8.4 |
332 |
Sonification of Rotation Instructions to Support Navigation of People with Visual Impairment |
| B A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| Balan, Rajesh |
S1.1 |
2 |
WiWear: Wearable Sensing via Directional WiFi Energy Harvesting |
| Baratè, Adriano |
S8.4 |
332 |
Sonification of Rotation Instructions to Support Navigation of People with Visual Impairment |
| Becker, Christian |
S7.2 |
272 |
Context-Aware Data and Task Placement in Edge Computing Environments |
| Bernareggi, Cristian |
S8.4 |
332 |
Sonification of Rotation Instructions to Support Navigation of People with Visual Impairment |
| Bettini, Claudio |
S5.4 |
166 |
Automatic Detection of Urban Features from Wheelchair Users' Movements |
| P1.1 |
220 |
Is Privacy Regulation Slowing Down or Enabling the Wide Adoption of Pervasive Systems? Panel Summary |
| Bexheti, Agon |
S4.3 |
126 |
Securely Storing and Sharing Memory Cues in Memory Augmentation Systems: A Practical Approach |
| Bian, Sizhen |
S5.1 |
136 |
Passive Capacitive based Approach for Full Body Gym Workout Recognition and Counting |
| Braud, Tristan |
S8.1 |
303 |
HIBEY: Hide the Keyboard in Augmented Reality |
| S8.3 |
322 |
M2A: A Framework for Visualizing Information from Mobile Web to Mobile Augmented Reality |
| Breitbach, Martin |
S7.2 |
272 |
Context-Aware Data and Task Placement in Edge Computing Environments |
| Butifar, Alberto |
S5.4 |
166 |
Automatic Detection of Urban Features from Wheelchair Users' Movements |
| C A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| Cabrera, Christian |
S3.1 |
72 |
Autoencoders for QoS Prediction at the Edge |
| Cao, Jiannong |
S8.2 |
313 |
AcouDigits: Enabling Users to Input Digits in the Air |
| Cha, Hojung |
S4.2 |
116 |
Always-On Quick Charging for Mobile Devices |
| Chakraborty, Sandip |
S5.3 |
156 |
Avoiding Stress Driving: Online Trip Recommendation from Driving Behavior Prediction |
| Chesser, Michael |
S5.2 |
146 |
Super Low Resolution RF Powered Accelerometers for Alerting on Hospitalized Patient Bed Exits |
| Cicconetti, Claudio |
S7.1 |
262 |
Low-latency distributed computation offloading for pervasive environments |
| Civitarese, Gabriele |
S5.4 |
166 |
Automatic Detection of Urban Features from Wheelchair Users' Movements |
| Clarke, Siobhán |
S3.1 |
72 |
Autoencoders for QoS Prediction at the Edge |
| Conti, Marco |
S7.1 |
262 |
Low-latency distributed computation offloading for pervasive environments |
| D A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| Das, Sajal |
S1.2 |
12 |
bioSmartSense: A Bio-inspired Data Collection Framework for Energy-efficient, QoI-aware Smart City Applications |
| Davies, Nigel |
S4.3 |
126 |
Securely Storing and Sharing Memory Cues in Memory Augmentation Systems: A Practical Approach |
| Demiray, Burcu |
S6.3 |
242 |
Automatic Detection of Everyday Social Behaviours and Environments from Verbatim Transcripts of Daily Conversations |
| Du, Yuefeng |
S2.2 |
43 |
Aggregating Crowd Wisdom via Blockchain: A Private, Correct, and Robust Realization |
| Duan, Huayi |
S2.2 |
43 |
Aggregating Crowd Wisdom via Blockchain: A Private, Correct, and Robust Realization |
| Dustdar, Schahram |
S7.3 |
282 |
POET: Privacy on the Edge with Bidirectional Data Transformations |
| E A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| Edinger, Janick |
S7.2 |
272 |
Context-Aware Data and Task Placement in Edge Computing Environments |
| Elhamshary, Moustafa |
S6.2 |
232 |
WiDeep:WiFi-based Accurate and Robust Indoor Localization System using Deep Learning |
| Elhart, Ivan |
S4.3 |
126 |
Securely Storing and Sharing Memory Cues in Memory Augmentation Systems: A Practical Approach |
| F A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| Fall, Kevin |
K1.1 |
1 |
Networked Robot Swarms-Ready or Not? |
| Flores, Huber |
S3.3 |
88 |
Hot or Not? Robust and Accurate Continuous Thermal Imaging on FLIR cameras |
| Fujimoto, Manato |
S6.1 |
222 |
EHAAS: Energy Harvesters As A Sensor for Place Recognition on Wearables |
| Fumeaux, Christophe |
S5.2 |
146 |
Super Low Resolution RF Powered Accelerometers for Alerting on Hospitalized Patient Bed Exits |
| G A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| Galimberti, Gabriele |
S8.4 |
332 |
Sonification of Rotation Instructions to Support Navigation of People with Visual Impairment |
| Ghezzi, Carlo |
S7.3 |
282 |
POET: Privacy on the Edge with Bidirectional Data Transformations |
| Ghosh, Nirnay |
S1.2 |
12 |
bioSmartSense: A Bio-inspired Data Collection Framework for Energy-efficient, QoI-aware Smart City Applications |
| H A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| Hamberg, Jonatan |
S3.3 |
88 |
Hot or Not? Robust and Accurate Continuous Thermal Imaging on FLIR cameras |
| Han, Yetong |
S8.2 |
313 |
AcouDigits: Enabling Users to Input Digits in the Air |
| Haubrick, Peter |
S3.4 |
97 |
Robust Audio Sensing with Multi-Sound Classification |
| Hevesi, Peter |
S5.1 |
136 |
Passive Capacitive based Approach for Full Body Gym Workout Recognition and Counting |
| Hu, Zhenjiang |
S7.3 |
282 |
POET: Privacy on the Edge with Bidirectional Data Transformations |
| Hui, Pan |
S8.3 |
322 |
M2A: A Framework for Visualizing Information from Mobile Web to Mobile Augmented Reality |
| S8.1 |
303 |
HIBEY: Hide the Keyboard in Augmented Reality |
| I A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| Ishiguro, Hiroshi |
K2.1 |
104 |
Studies on Interactive Robots |
| J A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| Jayatilaka, Asangi |
S5.2 |
146 |
Super Low Resolution RF Powered Accelerometers for Alerting on Hospitalized Patient Bed Exits |
| Jeon, Seunghyeok |
S4.2 |
116 |
Always-On Quick Charging for Mobile Devices |
| Jin, Zhi |
S7.3 |
282 |
POET: Privacy on the Edge with Bidirectional Data Transformations |
| K A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| Kelsey, Tom |
S3.2 |
81 |
Representation Learning for Minority and Subtle Activities in a Smart Home Environment |
| Kim, Daeyong |
S4.2 |
116 |
Always-On Quick Charging for Mobile Devices |
| Kostakos, Vassilis |
S1.3 |
22 |
Improving Experience Sampling with Multi-view User-driven Annotation Prediction |
| Ku, Wei-Shinn |
S2.1 |
33 |
On The Performance Bound of Structured Key-Based RFID Authentication |
| L A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| Lagerspetz, Eemil |
S3.3 |
88 |
Hot or Not? Robust and Accurate Continuous Thermal Imaging on FLIR cameras |
| Lagesse, Brent |
S2.3 |
53 |
Do You See What I See? Detecting Hidden Streaming Cameras Through Similarity of Simultaneous Observation |
| Lai, Ten-Hwang |
S2.1 |
33 |
On The Performance Bound of Structured Key-Based RFID Authentication |
| Lam, Kit Yung |
S8.1 |
303 |
HIBEY: Hide the Keyboard in Augmented Reality |
| S8.3 |
322 |
M2A: A Framework for Visualizing Information from Mobile Web to Mobile Augmented Reality |
| Langheinrich, Marc |
S4.3 |
126 |
Securely Storing and Sharing Memory Cues in Memory Augmentation Systems: A Practical Approach |
| Lee, Lik Hang |
S8.1 |
303 |
HIBEY: Hide the Keyboard in Augmented Reality |
| S8.3 |
322 |
M2A: A Framework for Visualizing Information from Mobile Web to Mobile Augmented Reality |
| Lee, Sukjun |
S4.2 |
116 |
Always-On Quick Charging for Mobile Devices |
| Li, Nianyu |
S7.3 |
282 |
POET: Privacy on the Edge with Bidirectional Data Transformations |
| Li, Xin |
S3.3 |
88 |
Hot or Not? Robust and Accurate Continuous Thermal Imaging on FLIR cameras |
| Liono, Jonathan |
S1.3 |
22 |
Improving Experience Sampling with Multi-view User-driven Annotation Prediction |
| Ludovico, Luca |
S8.4 |
332 |
Sonification of Rotation Instructions to Support Navigation of People with Visual Impairment |
| Lukowicz, Paul |
S5.1 |
136 |
Passive Capacitive based Approach for Full Body Gym Workout Recognition and Counting |
| M A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| Malmivirta, Titti |
S3.3 |
88 |
Hot or Not? Robust and Accurate Continuous Thermal Imaging on FLIR cameras |
| Martin, Mike |
S6.3 |
242 |
Automatic Detection of Everyday Social Behaviours and Environments from Verbatim Transcripts of Daily Conversations |
| Mascetti, Sergio |
S8.4 |
332 |
Sonification of Rotation Instructions to Support Navigation of People with Visual Impairment |
| S5.4 |
166 |
Automatic Detection of Urban Features from Wheelchair Users' Movements |
| Misra, Archan |
S1.1 |
2 |
WiWear: Wearable Sensing via Directional WiFi Energy Harvesting |
| Mitra, Bivas |
S5.3 |
156 |
Avoiding Stress Driving: Online Trip Recommendation from Driving Behavior Prediction |
| N A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| Nadeem, Tamer |
S7.4 |
292 |
Extreme SDN Framework for IoT and Mobile Applications Flexible Privacy at the Edge |
| Nakamura, Yugo |
S6.1 |
222 |
EHAAS: Energy Harvesters As A Sensor for Place Recognition on Wearables |
| Nguyen, Thien Duc |
S2.4 |
63 |
DoubleEcho: Mitigating Context-Manipulation Attacks in Copresence Verification |
| Nukavarapu, Santosh Kumar |
S7.4 |
292 |
Extreme SDN Framework for IoT and Mobile Applications Flexible Privacy at the Edge |
| Nurmi, Petteri |
S3.3 |
88 |
Hot or Not? Robust and Accurate Continuous Thermal Imaging on FLIR cameras |
| P A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| Palade, Andrei |
S3.1 |
72 |
Autoencoders for QoS Prediction at the Edge |
| Passarella, Andrea |
S7.1 |
262 |
Low-latency distributed computation offloading for pervasive environments |
| Peltonen, Ella |
S3.3 |
88 |
Hot or Not? Robust and Accurate Continuous Thermal Imaging on FLIR cameras |
| Pompili, Dario |
S6.4 |
252 |
HCFContext: Smartphone Context Inference via Sequential History-based Collaborative Filtering |
| Presti, Giorgio |
S8.4 |
332 |
Sonification of Rotation Instructions to Support Navigation of People with Visual Impairment |
| Q A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| Qin, Alex Kai |
S1.3 |
22 |
Improving Experience Sampling with Multi-view User-driven Annotation Prediction |
| R A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| R. Mehl, Matthias |
S6.3 |
242 |
Automatic Detection of Everyday Social Behaviours and Environments from Verbatim Transcripts of Daily Conversations |
| Ranasinghe, Damith |
S5.2 |
146 |
Super Low Resolution RF Powered Accelerometers for Alerting on Hospitalized Patient Bed Exits |
| Rey, Vitor |
S5.1 |
136 |
Passive Capacitive based Approach for Full Body Gym Workout Recognition and Counting |
| Rizk, Hamada |
S6.2 |
232 |
WiDeep:WiFi-based Accurate and Robust Indoor Localization System using Deep Learning |
| Rosales Sanabria, Andrea |
S3.2 |
81 |
Representation Learning for Minority and Subtle Activities in a Smart Home Environment |
| Roy, Satyaki |
S1.2 |
12 |
bioSmartSense: A Bio-inspired Data Collection Framework for Energy-efficient, QoI-aware Smart City Applications |
| S A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| Sadhu, Vidyasagar |
S6.4 |
252 |
HCFContext: Smartphone Context Inference via Sequential History-based Collaborative Filtering |
| Sakai, Kazuya |
S2.1 |
33 |
On The Performance Bound of Structured Key-Based RFID Authentication |
| Salim, Flora |
S1.3 |
22 |
Improving Experience Sampling with Multi-view User-driven Annotation Prediction |
| Sample, Alanson |
S5.2 |
146 |
Super Low Resolution RF Powered Accelerometers for Alerting on Hospitalized Patient Bed Exits |
| Saxena, Nitesh |
S4.1 |
105 |
Quantifying the Breakability of Voice Assistants |
| Schäfer, Dominik |
S7.2 |
272 |
Context-Aware Data and Task Placement in Edge Computing Environments |
| Shirvanian, Maliheh |
S4.1 |
105 |
Quantifying the Breakability of Voice Assistants |
| Soriente, Claudio |
S2.4 |
63 |
DoubleEcho: Mitigating Context-Manipulation Attacks in Copresence Verification |
| Sritapan, Vincent |
S6.4 |
252 |
HCFContext: Smartphone Context Inference via Sequential History-based Collaborative Filtering |
| Sun, Min-Te |
S2.1 |
33 |
On The Performance Bound of Structured Key-Based RFID Authentication |
| Suwa, Hirohiko |
S6.1 |
222 |
EHAAS: Energy Harvesters As A Sensor for Place Recognition on Wearables |
| T A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| Tarkoma, Sasu |
S2.4 |
63 |
DoubleEcho: Mitigating Context-Manipulation Attacks in Copresence Verification |
| Toivonen, Juhani |
S2.4 |
63 |
DoubleEcho: Mitigating Context-Manipulation Attacks in Copresence Verification |
| Torki, Marwan |
S6.2 |
232 |
WiDeep:WiFi-based Accurate and Robust Indoor Localization System using Deep Learning |
| Tran, Vu |
S1.1 |
2 |
WiWear: Wearable Sensing via Directional WiFi Energy Harvesting |
| Truong, Hien Thi Thu |
S2.4 |
63 |
DoubleEcho: Mitigating Context-Manipulation Attacks in Copresence Verification |
| Tsigkanos, Christos |
S7.3 |
282 |
POET: Privacy on the Edge with Bidirectional Data Transformations |
| U A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| Uddin, Mostafa |
S7.4 |
292 |
Extreme SDN Framework for IoT and Mobile Applications Flexible Privacy at the Edge |
| Umetsu, Yoshinori |
S6.1 |
222 |
EHAAS: Energy Harvesters As A Sensor for Place Recognition on Wearables |
| V A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| van Berkel, Niels |
S1.3 |
22 |
Improving Experience Sampling with Multi-view User-driven Annotation Prediction |
| Verma, Rohit |
S5.3 |
156 |
Avoiding Stress Driving: Online Trip Recommendation from Driving Behavior Prediction |
| Visvanathan, Renuka |
S5.2 |
146 |
Super Low Resolution RF Powered Accelerometers for Alerting on Hospitalized Patient Bed Exits |
| Vo, Summer |
S4.1 |
105 |
Quantifying the Breakability of Voice Assistants |
| W A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| Wang, Cong |
S2.2 |
43 |
Aggregating Crowd Wisdom via Blockchain: A Private, Correct, and Robust Realization |
| Wang, Dan |
S8.2 |
313 |
AcouDigits: Enabling Users to Input Digits in the Air |
| White, Gary |
S3.1 |
72 |
Autoencoders for QoS Prediction at the Edge |
| Wu, Kaishun |
S8.2 |
313 |
AcouDigits: Enabling Users to Input Digits in the Air |
| Wu, Kevin |
S2.3 |
53 |
Do You See What I See? Detecting Hidden Streaming Cameras Through Similarity of Simultaneous Observation |
| X A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| Xiong, Jie |
S1.1 |
2 |
WiWear: Wearable Sensing via Directional WiFi Energy Harvesting |
| Y A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| Yang, Qiang |
S8.2 |
313 |
AcouDigits: Enabling Users to Input Digits in the Air |
| Yau, Yui Pan |
S8.1 |
303 |
HIBEY: Hide the Keyboard in Augmented Reality |
| Ye, Juan |
S3.2 |
81 |
Representation Learning for Minority and Subtle Activities in a Smart Home Environment |
| S3.4 |
97 |
Robust Audio Sensing with Multi-Sound Classification |
| Yordanova, Kristina |
S6.3 |
242 |
Automatic Detection of Everyday Social Behaviours and Environments from Verbatim Transcripts of Daily Conversations |
| Youssef, Moustafa |
S6.2 |
232 |
WiDeep:WiFi-based Accurate and Robust Indoor Localization System using Deep Learning |
| Z A B C D E F G H I J K L M N P Q R S T U V W X Y Z |
| Zheng, Yifeng |
S2.2 |
43 |
Aggregating Crowd Wisdom via Blockchain: A Private, Correct, and Robust Realization |
| Zonouz, Saman |
S6.4 |
252 |
HCFContext: Smartphone Context Inference via Sequential History-based Collaborative Filtering |
| Zou, Yongpan |
S8.2 |
313 |
AcouDigits: Enabling Users to Input Digits in the Air |
