| Author |
Session |
Start page |
Title |
A A B C D F G H I J K L M N O P R S T V W X Y Z |
| Abbas, Moustafa |
S4.1 |
79 |
OmniCells: Cross-Device Cellular-based Indoor Location Tracking Using Deep Neural Networks |
| Ahmed, Tousif |
S5.5 |
147 |
ExhaleSense: Detecting High Fidelity Forced Exhalations to Estimate Lung Obstruction on Smartphones |
| B A B C D F G H I J K L M N O P R S T V W X Y Z |
| Balan, Rajesh |
S2.1 |
30 |
W8-Scope: Fine-Grained, Practical Monitoring of Weight Stack-based Exercises |
| Ben-Zeev, Dror |
S2.3 |
50 |
On Predicting Relapse in Schizophrenia using Mobile Sensing in a Randomized Control Trial |
| Berrocal, Javier |
Conference Announcements.1 |
212 |
Artifact Abstract: Deployment of APIs on Android Mobile Devices and Microcontrollers |
| Bhowmik, Adrija |
S1.3 |
22 |
Detecting Mobility Context over Smartphones using Typing and Smartphone Engagement Patterns |
| Blackstock, Erin |
S5.5 |
147 |
ExhaleSense: Detecting High Fidelity Forced Exhalations to Estimate Lung Obstruction on Smartphones |
| S5.7 |
167 |
Towards Passive Assessment of Pulmonary Function from Natural Speech Recorded Using a Mobile Phone |
| Bobb, Kamau |
Keynote.1 |
221 |
Considering Technology and Modern Citizenship |
| Braud, Tristan |
S9.2 |
292 |
Multipath Computation Offloading for Mobile Augmented Reality |
| S3.1 |
58 |
One-thumb Text Acquisition on Force-assisted Miniature Interfaces for Mobile Headsets |
| Brian, Rachel |
S2.3 |
50 |
On Predicting Relapse in Schizophrenia using Mobile Sensing in a Randomized Control Trial |
| Brophy, Eoin |
Conference Announcements.5 |
220 |
Artifact Abstract: CNNs for Heart Rate Estimation and Human Activity Recognition in Wrist Worn Sensing Applications |
| Brush, Aj |
Keynote.1 |
1 |
My Journey from Research to Product |
| C A B C D F G H I J K L M N O P R S T V W X Y Z |
| Cabrera, Christian |
S6.4 |
205 |
An Urban-driven Service Request Management Model |
| Conference Announcements.3 |
216 |
Artifact Abstract: An Urban-driven Service Request Management Model |
| Campbell, Andrew |
S2.3 |
50 |
On Predicting Relapse in Schizophrenia using Mobile Sensing in a Randomized Control Trial |
| Chakraborty, Sandip |
S1.3 |
22 |
Detecting Mobility Context over Smartphones using Typing and Smartphone Engagement Patterns |
| Chatterjee, Soumyajit |
S1.3 |
22 |
Detecting Mobility Context over Smartphones using Typing and Smartphone Engagement Patterns |
| Chen, Chen |
S7.3 |
242 |
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models |
| Chen, Mengqi |
S1.2 |
12 |
SilentSign: Device-free Handwritten Signature Verification through Acoustic Sensing |
| Choudhury, Tanzeem |
S2.3 |
50 |
On Predicting Relapse in Schizophrenia using Mobile Sensing in a Randomized Control Trial |
| Chun, Keum San |
S5.7 |
167 |
Towards Passive Assessment of Pulmonary Function from Natural Speech Recorded Using a Mobile Phone |
| Clarke, Siobhán |
S6.4 |
205 |
An Urban-driven Service Request Management Model |
| Conference Announcements.3 |
216 |
Artifact Abstract: An Urban-driven Service Request Management Model |
| Clemente, Jose |
S4.3 |
99 |
Helena: Real-time Contact-free Monitoring of Sleep Activities and Events around the Bed |
| Cook, Diane |
Keynote.1 |
78 |
Digitally mapping the human behaviorome |
| D A B C D F G H I J K L M N O P R S T V W X Y Z |
| Deng, Yao |
S7.3 |
242 |
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models |
| Dey, Anind |
S2.2 |
40 |
Activity Recommendation: Optimizing Life in the Long Term |
| Dong, Wei |
S7.1 |
222 |
Accurate and Robust Rogue Access Point Detection with Client-Agnostic Wireless Fingerprinting |
| Du, Yifan |
S8.1 |
252 |
Let Opportunistic Crowdsensors Work Together for Resource-efficient, Quality-aware Observations |
| F A B C D F G H I J K L M N O P R S T V W X Y Z |
| Faghihi, Farbod |
S8.2 |
262 |
COSINE: Collaborator Selector for Cooperative Multi-Device Sensing and Computing |
| Fan, Boyu |
S4.2 |
89 |
EmgAuth: An EMG-based Smartphone Unlocking System Using Siamese Network |
| Flores, Huber |
S8.2 |
262 |
COSINE: Collaborator Selector for Cooperative Multi-Device Sensing and Computing |
| Franco da Silva, Ana Cristina |
Conference Announcements.4 |
218 |
Artifact Abstract: MBP: Not just an IoT platform |
| G A B C D F G H I J K L M N O P R S T V W X Y Z |
| Gao, Yi |
S7.1 |
222 |
Accurate and Robust Rogue Access Point Detection with Client-Agnostic Wireless Fingerprinting |
| García-Alonso, José |
Conference Announcements.1 |
212 |
Artifact Abstract: Deployment of APIs on Android Mobile Devices and Microcontrollers |
| Geissdoerfer, Kai |
S1.1 |
2 |
Towards Energy Positive Sensing using Kinetic Energy Harvesters |
| Ghosh, Surjya |
S1.3 |
22 |
Detecting Mobility Context over Smartphones using Typing and Smartphone Engagement Patterns |
| Gomi, Hidehito |
S5.4 |
137 |
Parasitic Location Logging: Estimating Users' Location from Context of Passersby |
| H A B C D F G H I J K L M N O P R S T V W X Y Z |
| Harras, Khaled |
S6.1 |
177 |
WiNar: RTT-based Sub-meter Indoor Localization using Commercial Devices |
| Hashem, Omar |
S6.1 |
177 |
WiNar: RTT-based Sub-meter Indoor Localization using Commercial Devices |
| Hauser, Martar |
S2.3 |
50 |
On Predicting Relapse in Schizophrenia using Mobile Sensing in a Randomized Control Trial |
| Havinga, Paul |
S6.3 |
197 |
Speaker Counting Model based on Transfer Learning from SincNet Bottleneck Layer |
| Hein, Albert |
Conference Announcements.2 |
214 |
Artifact Abstract: Kitchen Task Assessment Dataset for Measuring Errors due to Cognitive Impairments |
| Helal, Sumi |
S8.3 |
272 |
Participants Selection for From-Scratch Mobile Crowdsensing Via Reinforcement Learning |
| Hemminki, Samuli |
S8.2 |
262 |
COSINE: Collaborator Selector for Cooperative Multi-Device Sensing and Computing |
| Hernandez, Aitor |
S5.1 |
109 |
ERAIA - Enabling Intelligence Data Pipelines for IoT-based Application Systems |
| Hirmer, Pascal |
Conference Announcements.4 |
218 |
Artifact Abstract: MBP: Not just an IoT platform |
| Hölzl, Gerold |
S5.2 |
118 |
Predicting Machine Errors based on Adaptive Sensor Data Drifts in a Real World Industrial Setup |
| Hu, Yunfan |
S8.3 |
272 |
Participants Selection for From-Scratch Mobile Crowdsensing Via Reinforcement Learning |
| Hui, Pan |
S9.2 |
292 |
Multipath Computation Offloading for Mobile Augmented Reality |
| S3.1 |
58 |
One-thumb Text Acquisition on Force-assisted Miniature Interfaces for Mobile Headsets |
| S8.2 |
262 |
COSINE: Collaborator Selector for Cooperative Multi-Device Sensing and Computing |
| S4.2 |
89 |
EmgAuth: An EMG-based Smartphone Unlocking System Using Siamese Network |
| I A B C D F G H I J K L M N O P R S T V W X Y Z |
| Issarny, Valerie |
S8.1 |
252 |
Let Opportunistic Crowdsensors Work Together for Resource-efficient, Quality-aware Observations |
| J A B C D F G H I J K L M N O P R S T V W X Y Z |
| Jin, Hongxia |
S2.2 |
40 |
Activity Recommendation: Optimizing Life in the Long Term |
| Jurdak, Raja |
S1.1 |
2 |
Towards Energy Positive Sensing using Kinetic Energy Harvesters |
| K A B C D F G H I J K L M N O P R S T V W X Y Z |
| Kanai, Ryota |
S5.3 |
127 |
Human Activity Recognition with Deep Reinforcement Learning using the Camera of a Mobile Robot |
| Kane, John |
S2.3 |
50 |
On Predicting Relapse in Schizophrenia using Mobile Sensing in a Randomized Control Trial |
| Kangasharju, Jussi |
S9.2 |
292 |
Multipath Computation Offloading for Mobile Augmented Reality |
| Khalifa, Sara |
S1.1 |
2 |
Towards Energy Positive Sensing using Kinetic Energy Harvesters |
| Kim, Miryung |
S7.3 |
242 |
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models |
| Kirste, Thomas |
Conference Announcements.2 |
214 |
Artifact Abstract: Kitchen Task Assessment Dataset for Measuring Errors due to Cognitive Impairments |
| Korpela, Joseph |
S5.3 |
127 |
Human Activity Recognition with Deep Reinforcement Learning using the Camera of a Mobile Robot |
| Kranz, Matthias |
S5.2 |
118 |
Predicting Machine Errors based on Adaptive Sensor Data Drifts in a Real World Industrial Setup |
| Kuang, Jilong |
S5.5 |
147 |
ExhaleSense: Detecting High Fidelity Forced Exhalations to Estimate Lung Obstruction on Smartphones |
| S5.7 |
167 |
Towards Passive Assessment of Pulmonary Function from Natural Speech Recorded Using a Mobile Phone |
| Kumrai, Teerawat |
S5.3 |
127 |
Human Activity Recognition with Deep Reinforcement Learning using the Camera of a Mobile Robot |
| Kusy, Branislav |
S1.1 |
2 |
Towards Energy Positive Sensing using Kinetic Energy Harvesters |
| L A B C D F G H I J K L M N O P R S T V W X Y Z |
| Laso Mangas, Sergio |
Conference Announcements.1 |
212 |
Artifact Abstract: Deployment of APIs on Android Mobile Devices and Microcontrollers |
| Latinovic, Milan |
S5.6 |
157 |
Rethinking Authorization Management of Web-APIs |
| Lee, Lik-Hang |
S3.1 |
58 |
One-thumb Text Acquisition on Force-assisted Miniature Interfaces for Mobile Headsets |
| Li, Bingji |
S7.1 |
222 |
Accurate and Robust Rogue Access Point Detection with Client-Agnostic Wireless Fingerprinting |
| Li, Fangyu |
S4.3 |
99 |
Helena: Real-time Contact-free Monitoring of Sleep Activities and Events around the Bed |
| Li, Xiang-Yang |
S3.2 |
68 |
ThumbUp: Identification and Authentication by Smartwatch using Simple Hand Gestures |
| Li, Xin |
S8.2 |
262 |
COSINE: Collaborator Selector for Cooperative Multi-Device Sensing and Computing |
| Lin, Jiawei |
S1.2 |
12 |
SilentSign: Device-free Handwritten Signature Verification through Acoustic Sensing |
| Lin, Yuxiang |
S7.1 |
222 |
Accurate and Robust Rogue Access Point Detection with Client-Agnostic Wireless Fingerprinting |
| Linaje, Marino |
Conference Announcements.1 |
212 |
Artifact Abstract: Deployment of APIs on Android Mobile Devices and Microcontrollers |
| Liu, Xuefeng |
S4.2 |
89 |
EmgAuth: An EMG-based Smartphone Unlocking System Using Siamese Network |
| Lou, Guannan |
S7.3 |
242 |
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models |
| M A B C D F G H I J K L M N O P R S T V W X Y Z |
| Maekawa, Takuya |
S5.3 |
127 |
Human Activity Recognition with Deep Reinforcement Learning using the Camera of a Mobile Robot |
| Malm, Nicolas |
S6.2 |
187 |
Beamsteering for Training-free Counting of Multiple Humans Performing Distinct Activities |
| Meratnia, Nirvana |
S6.3 |
197 |
Speaker Counting Model based on Transfer Learning from SincNet Bottleneck Layer |
| Misra, Archan |
S2.1 |
30 |
W8-Scope: Fine-Grained, Practical Monitoring of Weight Stack-based Exercises |
| Mitra, Bivas |
S1.3 |
22 |
Detecting Mobility Context over Smartphones using Typing and Smartphone Engagement Patterns |
| Muehlhausen, Willie |
Conference Announcements.5 |
220 |
Artifact Abstract: CNNs for Heart Rate Estimation and Human Activity Recognition in Wrist Worn Sensing Applications |
| Murillo Rodriguez, Juan Manuel |
Conference Announcements.1 |
212 |
Artifact Abstract: Deployment of APIs on Android Mobile Devices and Microcontrollers |
| N A B C D F G H I J K L M N O P R S T V W X Y Z |
| Nathan, Viswam |
S5.7 |
167 |
Towards Passive Assessment of Pulmonary Function from Natural Speech Recorded Using a Mobile Phone |
| S5.5 |
147 |
ExhaleSense: Detecting High Fidelity Forced Exhalations to Estimate Lung Obstruction on Smartphones |
| Nemati, Ebrahim |
S5.7 |
167 |
Towards Passive Assessment of Pulmonary Function from Natural Speech Recorded Using a Mobile Phone |
| S5.5 |
147 |
ExhaleSense: Detecting High Fidelity Forced Exhalations to Estimate Lung Obstruction on Smartphones |
| Niu, Jianwei |
S4.2 |
89 |
EmgAuth: An EMG-based Smartphone Unlocking System Using Siamese Network |
| Nurmi, Petteri |
S8.2 |
262 |
COSINE: Collaborator Selector for Cooperative Multi-Device Sensing and Computing |
| O A B C D F G H I J K L M N O P R S T V W X Y Z |
| Obuchi, Mikio |
S2.3 |
50 |
On Predicting Relapse in Schizophrenia using Mobile Sensing in a Randomized Control Trial |
| P A B C D F G H I J K L M N O P R S T V W X Y Z |
| Palade, Andrei |
S6.4 |
205 |
An Urban-driven Service Request Management Model |
| Conference Announcements.3 |
216 |
Artifact Abstract: An Urban-driven Service Request Management Model |
| Palipana, Sameera |
S6.2 |
187 |
Beamsteering for Training-free Counting of Multiple Humans Performing Distinct Activities |
| Portmann, Marius |
S1.1 |
2 |
Towards Energy Positive Sensing using Kinetic Energy Harvesters |
| R A B C D F G H I J K L M N O P R S T V W X Y Z |
| Radhakrishnan, Meeralakshmi |
S2.1 |
30 |
W8-Scope: Fine-Grained, Practical Monitoring of Weight Stack-based Exercises |
| Rahman, Md Mahbubur |
S5.7 |
167 |
Towards Passive Assessment of Pulmonary Function from Natural Speech Recorded Using a Mobile Phone |
| S5.5 |
147 |
ExhaleSense: Detecting High Fidelity Forced Exhalations to Estimate Lung Obstruction on Smartphones |
| Ramos Rojas, Julian |
S2.2 |
40 |
Activity Recommendation: Optimizing Life in the Long Term |
| Rizk, Hamada |
S4.1 |
79 |
OmniCells: Cross-Device Cellular-based Indoor Location Tracking Using Deep Neural Networks |
| Rosas, Johana |
S2.2 |
40 |
Activity Recommendation: Optimizing Life in the Long Term |
| Ruby, Rukhsana |
S1.2 |
12 |
SilentSign: Device-free Handwritten Signature Verification through Acoustic Sensing |
| S A B C D F G H I J K L M N O P R S T V W X Y Z |
| Sailhan, Françoise |
S8.1 |
252 |
Let Opportunistic Crowdsensors Work Together for Resource-efficient, Quality-aware Observations |
| Sandhu, Muhammad Moid |
S1.1 |
2 |
Towards Energy Positive Sensing using Kinetic Energy Harvesters |
| Scherer, Emily |
S2.3 |
50 |
On Predicting Relapse in Schizophrenia using Mobile Sensing in a Randomized Control Trial |
| Schneider, Jan |
Conference Announcements.4 |
218 |
Artifact Abstract: MBP: Not just an IoT platform |
| Seraj, Fatjon |
S6.3 |
197 |
Speaker Counting Model based on Transfer Learning from SincNet Bottleneck Layer |
| Shang, Jiacheng |
S7.2 |
232 |
LightDefender: Protecting PIN Input using Ambient Light Sensor |
| Shen, Yilin |
S2.2 |
40 |
Activity Recommendation: Optimizing Life in the Long Term |
| Shimosaka, Masamichi |
S5.4 |
137 |
Parasitic Location Logging: Estimating Users' Location from Context of Passersby |
| Sigg, Stephan |
S6.2 |
187 |
Beamsteering for Training-free Counting of Multiple Humans Performing Distinct Activities |
| Singh, Arun |
S1.3 |
22 |
Detecting Mobility Context over Smartphones using Typing and Smartphone Engagement Patterns |
| Smeaton, Alan |
Conference Announcements.5 |
220 |
Artifact Abstract: CNNs for Heart Rate Estimation and Human Activity Recognition in Wrist Worn Sensing Applications |
| Soller, Sebastian |
S5.2 |
118 |
Predicting Machine Errors based on Adaptive Sensor Data Drifts in a Real World Industrial Setup |
| Song, WenZhan |
S4.3 |
99 |
Helena: Real-time Contact-free Monitoring of Sleep Activities and Events around the Bed |
| Su, Xiang |
S3.1 |
58 |
One-thumb Text Acquisition on Force-assisted Miniature Interfaces for Mobile Headsets |
| S4.2 |
89 |
EmgAuth: An EMG-based Smartphone Unlocking System Using Siamese Network |
| Suzic, Bojan |
S5.6 |
157 |
Rethinking Authorization Management of Web-APIs |
| T A B C D F G H I J K L M N O P R S T V W X Y Z |
| Tarkoma, Sasu |
S8.2 |
262 |
COSINE: Collaborator Selector for Cooperative Multi-Device Sensing and Computing |
| Teraoka, Teruhiko |
S5.4 |
137 |
Parasitic Location Logging: Estimating Users' Location from Context of Passersby |
| Tsubouchi, Kota |
S5.4 |
137 |
Parasitic Location Logging: Estimating Users' Location from Context of Passersby |
| Tudor, Valentin |
S5.1 |
109 |
ERAIA - Enabling Intelligence Data Pipelines for IoT-based Application Systems |
| V A B C D F G H I J K L M N O P R S T V W X Y Z |
| Valero, Maria |
S4.3 |
99 |
Helena: Real-time Contact-free Monitoring of Sleep Activities and Events around the Bed |
| Vatanparvar, Korosh |
S5.7 |
167 |
Towards Passive Assessment of Pulmonary Function from Natural Speech Recorded Using a Mobile Phone |
| S5.5 |
147 |
ExhaleSense: Detecting High Fidelity Forced Exhalations to Estimate Lung Obstruction on Smartphones |
| W A B C D F G H I J K L M N O P R S T V W X Y Z |
| Walsh, Megan |
S2.3 |
50 |
On Predicting Relapse in Schizophrenia using Mobile Sensing in a Randomized Control Trial |
| Wang, ChengLiang |
S4.3 |
99 |
Helena: Real-time Contact-free Monitoring of Sleep Activities and Events around the Bed |
| Wang, Jiangtao |
S8.3 |
272 |
Participants Selection for From-Scratch Mobile Crowdsensing Via Reinforcement Learning |
| Wang, Rui |
S2.3 |
50 |
On Predicting Relapse in Schizophrenia using Mobile Sensing in a Randomized Control Trial |
| Wang, Wei |
S6.3 |
197 |
Speaker Counting Model based on Transfer Learning from SincNet Bottleneck Layer |
| Wang, Weichen |
S2.3 |
50 |
On Predicting Relapse in Schizophrenia using Mobile Sensing in a Randomized Control Trial |
| Ward, Tomas |
Conference Announcements.5 |
220 |
Artifact Abstract: CNNs for Heart Rate Estimation and Human Activity Recognition in Wrist Worn Sensing Applications |
| White, Gary |
S6.4 |
205 |
An Urban-driven Service Request Management Model |
| Conference Announcements.3 |
216 |
Artifact Abstract: An Urban-driven Service Request Management Model |
| Wu, Bo |
S8.3 |
272 |
Participants Selection for From-Scratch Mobile Crowdsensing Via Reinforcement Learning |
| Wu, Jie |
S7.2 |
232 |
LightDefender: Protecting PIN Input using Ambient Light Sensor |
| Wu, Kaishun |
S9.1 |
282 |
Cross-Technology Communication through Symbol-Level Energy Modulation for Commercial Wireless Networks |
| S1.2 |
12 |
SilentSign: Device-free Handwritten Signature Verification through Acoustic Sensing |
| X A B C D F G H I J K L M N O P R S T V W X Y Z |
| Xiao, Bin |
S5.1 |
109 |
ERAIA - Enabling Intelligence Data Pipelines for IoT-based Application Systems |
| Xu, Jun |
S9.1 |
282 |
Cross-Technology Communication through Symbol-Level Energy Modulation for Commercial Wireless Networks |
| Xu, Mingxue |
S3.2 |
68 |
ThumbUp: Identification and Authentication by Smartwatch using Simple Hand Gestures |
| Y A B C D F G H I J K L M N O P R S T V W X Y Z |
| Yao, Junmei |
S9.1 |
282 |
Cross-Technology Communication through Symbol-Level Energy Modulation for Commercial Wireless Networks |
| Yau, Yui-Pan |
S3.1 |
58 |
One-thumb Text Acquisition on Force-assisted Miniature Interfaces for Mobile Headsets |
| Yordanova, Kristina |
Conference Announcements.2 |
214 |
Artifact Abstract: Kitchen Task Assessment Dataset for Measuring Errors due to Cognitive Impairments |
| You, Xuanke |
S3.2 |
68 |
ThumbUp: Identification and Authentication by Smartwatch using Simple Hand Gestures |
| Youssef, Moustafa |
S4.1 |
79 |
OmniCells: Cross-Device Cellular-based Indoor Location Tracking Using Deep Neural Networks |
| S6.1 |
177 |
WiNar: RTT-based Sub-meter Indoor Localization using Commercial Devices |
| Yu, Xiaojing |
S3.2 |
68 |
ThumbUp: Identification and Authentication by Smartwatch using Simple Hand Gestures |
| Yu, Yen |
S5.3 |
127 |
Human Activity Recognition with Deep Reinforcement Learning using the Camera of a Mobile Robot |
| Z A B C D F G H I J K L M N O P R S T V W X Y Z |
| Zhang, Tianyi |
S7.3 |
242 |
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models |
| Zheng, Xi |
S7.3 |
242 |
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models |
| Zheng, Xiaolong |
S9.1 |
282 |
Cross-Technology Communication through Symbol-Level Energy Modulation for Commercial Wireless Networks |
| Zhou, Pengyuan |
S9.2 |
292 |
Multipath Computation Offloading for Mobile Augmented Reality |
| Zhou, Zhijun |
S3.2 |
68 |
ThumbUp: Identification and Authentication by Smartwatch using Simple Hand Gestures |
| Zhu, Yiming |
S3.1 |
58 |
One-thumb Text Acquisition on Force-assisted Miniature Interfaces for Mobile Headsets |
| Zou, Yongpan |
S1.2 |
12 |
SilentSign: Device-free Handwritten Signature Verification through Acoustic Sensing |
| Zuniga, Agustin |
S8.2 |
262 |
COSINE: Collaborator Selector for Cooperative Multi-Device Sensing and Computing |
