4th International Workshop on Human Activity Sensing Corpus and Application: Towards Open-Ended Context Awareness


September 12th (Monday)

Long paper : 15min talk including discussion
Short paper: 10min talk including discussion (marked as [Short])


(Daniel Roggen)


Session 1: Keynote
(Chair: Kristof Van Laerhoven)

[Keynote] Visual Turing Test and Deep Learning vs. Privacy

Mario Fritz (MPI Saarbruecken)

With the advance of sensing technology and the availability of abundant data resources, machines can get a detailed “picture" of the real-world - unlike ever possible before. However, there is a big gap between the raw data and the semantic understanding a human may acquire by analyzing the same data. My goal is to narrow and eventually close this gap between these low-level representations and the rich semantic understanding acquired by humans. Progress in this direction will facilitate a seamless interaction and exchange of information between machines and humans. We quantifying progress towards this overarching goal by formulating a Visual Turing Test where machine learning approaches are trained to answer natural language questions on data. In particular, I will describe how we address this challenging task by deep learning techniques that bring together state of the art methods in natural language and image understanding. More broadly, recent deep learning techniques have provided us with modular, efficient and end-to-end trainable architectures, which I will illustrate on a few examples of our recent work ranging from eye tracking over applications in computer graphics to recognition of ongoing activities. I will close by describing our latest work that investigates privacy implications of such effective machine learning techniques when applied to visual data on social networks.

Coffee Break


Session 2: Data / Corpus
(Chair: Nobuhiko Nishio)

UbiComp/ISWC 2015 PDR Challenge Corpus

Katsuhiko Kaji, Masaaki Abe, Wan Weimin, Kei Hiroi, Nobuo Kawaguchi

HASC-PAC2016: Large Scale Human Pedestrian Activity Corpus and Its Baseline Recognition

Haruyuki Ichino, Katsuhiko Kaji, Ken Sakurada, Kei Hiroi, Nobuo Kawaguchi

A Multi-Media Exchange Format for Time-Series Dataset Curation

Philipp M. Scholl, Kristof Van Laerhoven

Implicit Positioning Using Compass Sensor Data

Dennis Kroll, Rico Kusber, Klaus David

A Better Positioning with BLE Tag by RSSI Compensation through Crowd Density Estimation

Kei Hiroi, Yoichi Shinoda, Nobuo Kawaguchi

Discovery and Recognition of Unknown Activities

Juan Ye, Lei Fang, Simon Dobson


Session 2': Activity Recognition
(Chair: Nobuo Kawaguchi)

[Short] Wearable Electric Potential Sensing: A new modality sensing hair touch and restless leg movement

A. Pouryazdan, R. J. Prance, H. Prance, D. Roggen

Recognizing Unknown Activities Using Semantic Word Vectors and Twitter Timestamps

Moe Matsuki, Sozo Inoue


Lunch Break


Session 3: Data-centric Research
(Chair: Susanna Pirttikangas)

Enhancing Location Prediction with Big Data: Evidence from Dhaka

Dunstan Matekenya, Masaki Ito, Yoshito Tobe, Ryosuke Shibasaki, Kaoru Sezaki

[Short] Patterns of human activity behavior: From data to information and clinical knowledge

A. Paraschiv-Ionescu, S. Mellone, M. Colpo, E. A.F. Ihlen, L. Chiar, C. Becker, K. Aminian

Inhalation During Fire Experiments: an Approach Derived Through ECG

Raquel Sebastiao, Sandra Sorte, Joana Valente, Ana I. Miranda, Jose M. Fernandes

Exploring human activity annotation using a privacy preserving 3D model

Mathias Ciliberto, Daniel Roggen, Francisco Javier Ordonez


Coffee Break


Session 4: Sensing Technologies
(Chair: Sozo Inoue)

Detecting Group Formations using iBeacon Technology

Kleomenis Katevas, Hamed Haddadi, Laurissa Tokarchuk, Richarg G. Clegg

Let the objects tell what you are doing

Gabriele Civitarese, Stefano Belfiore, Claudio Bettini

FPGA Based Hardware Acceleration of Sensor Matrix

Abdul Mutaal Ahmad, Paul Lukowicz, Jingyuan Cheng

Towards Recognizing Person-Object Interaction Gestures using a Single Wrist Wearable Device

Juhi Ranjan, Kamin Whitehouse

A Recognition Method for Continuous Gestures with an Accelerometer

Hikaru Watanabe, Masahiro Mochizuki, Kazuya Murao, Nobuhiko Nishio




Discussion and Closing Remarks