Registration

Session 1: Tools and algorithms I
(Chair: Nobuhiko Nishio)

Cross-Assistive Approach for PDR and Wi-Fi Positioning

Kazuya Miyazaki, Masahiro Mochizuki, Kazuya Murao, Nobuhiko Nishio

Adapting Wi-Fi Samples to Environmental Changes Automatically

Takashi Sakaguchi, Masahiro Mochizuki, Kazuya Murao, Nobuhiko Nishio

Training Human Activity Recognition for Labels with Inaccurate Time Stamps

Takamichi Toda, Sozo Inoue, Shota Tanaka, Naonori Ueda

Coffee Break

Session 2: Data-centric research and annotation
(Chair: Daniel Roggen)

A Method for Tracking On-body Sensor Positions Utilizing Prior Knowledge

Naoto Migita, Takuya Yumiyama, Sozo Inoue, Takeshi Nishida

[Short] Room Exit Recognition Using Mobile Accelerometers and Illuminometers

Tatsuya Isoda, Sozo Inoue, Shuji Kutsuna, Masato Kawano

On Strategies for Budget-Based Online Annotation in Human Activity Recognition

Tudor Miu, Thomas Plötz, Paolo Missier, Daniel Roggen

A Recognition Method for Combined Activities with Accelerometers

Kazuya Murao, Tsutomu Terada

A Pedestrian Flow Analysis System using Wi-Fi Packet Sensors to a Real Environment

Yuki Fukuzaki, Masahiro Mochizuki, Kazuya Murao, Nobuhiko Nishio

Lunch

Session 3: Data/corpus collection
(Chair: Kazuya Murao)

Limitations with Activity Recognition Methodology and Data Sets

Jeffrey W. Lockhart, Gary M. Weiss

Kraken.me – Multi-Device User Tracking Suite

Immanuel Schweizer, Benedikt Schmidt

CrowdSignals: A Call to Crowdfund and Crowdsource the Community's Largest Labeled Mobile Dataset

Evan Welbourne, Emmanuel Munguia-Tapia

Coffee Break

Session 4: Tools and algorithms II
(Chair: Tsutomu Terada)

Pedestrian Dead Reckoning based on Human Activity Sensing Knowledge

Yuya Murata, Katsuhiko Kaji, Kei Hiroi, Nobuo Kawaguchi

Exploring Combinations of Missing Data Complement for Fault Tolerant Activity Recognition

Ren Ohmura, Ryoma Uchida

Cost-Sensitive Feature Selection for On-Body Sensor Localization

Ramyar Saeedi, Hassan Ghasemzadeh

(Chair: Nobuo Kawaguchi)

Towards A Unified System for Multimodal Activity Spotting: Challenges and A Proposal

Long-Van Nguyen-Dinh, Alberto Calatroni, Gerhard Tröster

User Activity Recognition Method based on Atmospheric Pressure Sensing

Keisuke Komeda, Masahiro Mochizuki, Nobuhiko Nishio

[Short] Improving Activity Recognition Via Automatic Decision Tree Pruning

Thomas Phan

Discussion and Closing Remarks