6th international workshop on human Activity Sensing Corpus and Applications (HASCA)
Murao, K.
Enokibori, Y.
Gjoreski, H.
Lago, P.
Okita, T.
Siirtola, P.
Hiroi, K.
Scholl, P.M.
Kazuya Murao
Murao Kazuya
ORCID: 0000-0002-3777-8399
A method for structuring meeting logs using wearable sensors
10.1016/j.iot.2019.01.005
A method for determining the moment of touching a card using wrist-worn sensor in competitive karuta
10.2197/ipsjjip.26.38
Estimating load positions of wearable devices based on difference in pulse wave arrival time
10.1145/3341163.3347743
Bicycle pedaling training system using auditory feedback
10.1145/2832932.2832972
HASC2011corpus: Towards the common ground of human activity recognition
10.1145/2030112.2030218
Screen unlocking method using behavioral characteristics when taking mobile phone from pocket
10.1145/3007120.3007162
User identification method in a bathtub with a water pressure sensor
10.1145/3282353.3282360
Early gesture recognition method with an accelerometer
10.1145/2582051.2582105
CLAD: A sensor management device for wearable computing
10.1109/ICDCSW.2007.28
Mobile phone user authentication with grip gestures using pressure sensors
10.1145/2684103.2684116
Gesture recognition method with acceleration data weighted by SEMG
10.1145/3341162.3345589
A method for energy saving on context-aware system by sampling control and data complement
10.1109/ISWC.2010.5665860
A context-aware system that changes sensor combinations considering energy consumption
10.1007/978-3-540-79576-6_12
7th international workshop on human Activity Sensing Corpus and Applications (HASCA)
10.1145/3341162.3347765
Demo: Construction of a device that automatically generates various touch interactions
10.1145/3341162.3343762
Evaluating effect of concreteness in instructions for gesture recognition
10.1109/ISWC.2011.22
Automatic annotation for human activity and device state recognition using smartphone notification
10.1145/3341162.3345582
Evaluating gesture recognition by multiple-sensor-containing mobile devices
10.1109/ISWC.2011.20
Activity recognition and user identification based on tabletop activities with load cells
10.2197/ipsjjip.25.59
A Wi-Fi positioning method considering radio attenuation of human body
10.1145/3267305.3267513
A system for identifying toilet user by characteristics of paper roll rotation
10.1145/2994374.3004071
HASC challenge: Gathering large scale human activity corpus for the real-world activity understandings
10.1145/1959826.1959853
Integration of push-based and pull-based connectivity status sharing for efficient data forwarding towards mobile sinks in wireless sensor networks
10.1109/AINA.2014.66
Evaluation function of sensor position for activity recognition considering wearability
10.1145/2494091.2495983
Summary of the Sussex-Huawei locomotion-transportation recognition challenge
10.1145/3267305.3267519
Labeling method for acceleration data using an execution sequence of activities
10.1145/2494091.2495982
Data Transmission Method Using Touch Generation Device for Multi-touch Display
10.1145/3341162.3343797
A motion recognition method by constancy-decision
10.1109/ISWC.2010.5665870
A method to recognize entering and leaving person based on door opening and closing movement using angular velocity sensor
10.1145/3341162.3343798
Toward construction of wearable sensing environments
10.1007/978-3-642-13965-9_7
Personal identification system based on rotation of toilet paper rolls
10.1109/PERCOMW.2017.7917617
A user identification method based on features of opening/closing a refrigerator door
10.1109/PERCOMW.2017.7917619
User attribute classification method based on trajectory patterns with active scanning devices
10.1007/978-3-319-90740-6_24
PDR trajectory estimation using pedestrian-space constraints: Real world evaluations
10.1145/2800835.2807949
Cross-assistive approach for PDR and Wi-Fi positioning
10.1145/2638728.2641303
A recognition method for combined activities with accelerometers
10.1145/2638728.2641304
Detecting aged deterioration of a radio base station map for Wi-Fi positioning
10.1145/3123024.3124401
A recognition method for continuous gestures with an accelerometer
10.1145/2968219.2968291
Hybrid approach for reliable floor recognition method
10.1145/3123024.3124404
Adapting Wi-Fi samples to environmental changes automatically
10.1145/2638728.2641302
Summary of the Sussex-Huawei locomotion-transportation recognition challenge 2019
10.1145/3341162.3344872
Evaluation study on sensor placement and gesture selection for mobile devices
10.1145/2406367.2406376
A text input method for half-sized keyboard using keying interval
10.1145/2406367.2406375
Evaluation of cross-assistive approach for PDR and Wi-Fi positioning in the real environment
10.1145/2800835.2801614
Estimating Trajectory of Inhabitants with Sparsely Aligned Infrared Sensors
10.1109/NBiS.2016.12
Recognizing activities and identifying users based on tabletop activities with load cells
10.1145/2837185.2837264
Wearable text input interface using touch typing skills
10.1145/2735711.2735779
Mobile phone user authentication with grip gestures using pressure sensors
10.1108/IJPCC-03-2015-0017
Early gesture recognition method with an accelerometer
10.1108/IJPCC-03-2015-0016
A combined-activity recognition method with accelerometers
10.2197/ipsjjip.24.512
Evaluating effect of types of instructions for gesture recognition with an accelerometer
10.1145/2582051.2582057
IT-enabled donation boxes to promote donation
10.1145/1690388.1690471
Development of a navigation system with a route planning algorithm using body-worn sensors
10.1145/1497185.1497206
GERMIC: Application of gesture recognition model with interactive correction to manual grading tasks
10.1007/978-3-319-90740-6_6
Multi-algorithm on-site evaluation system for PDR challenge
10.1109/ICMU.2016.7742094
Method of determining training data for gesture recognition considering decay in gesture movements
10.1109/PerComW.2013.6529449
6th international workshop on human Activity Sensing Corpus and Applications (HASCA)
10.1145/3267305.3274145
Early gesture recognition method with an accelerometer
10.1145/2684103.2684147
Statistical analysis of actual number of pedestrians for Wi-Fi packet-based pedestrian flow sensing
10.1145/2800835.2801623
A pedestrian flow analysis system using Wi-Fi packet sensors to a real environment
10.1145/2638728.2641312
A system for determining which player touches a card first using a wrist-worn sensor in competitive karuta
10.1145/2971763.2971791
Multi-Touch Interaction Generation Device by Spatiotemporally Switching Electrodes
10.3390/electronics10121475
Paula Lago
Lago Paula
ORCID: 0000-0001-5290-6486
An affective inference model based on facial expression analysis
10.1109/TLA.2014.6827868
An affective inference model based on facial expression analysis
10.1007/978-3-319-03176-7_22
Hybrid model rating prediction with linked open data for recommender systems
10.1007/978-3-319-12024-9_26
Mental health information web search and semantic search extension
10.1109/COLOMCC.2011.5936330
Contextualized behavior patterns for ambient assisted living
10.1007/978-3-319-24195-1_10
Contextualized behavior patterns for change reasoning in Ambient Assisted Living: A formal model
10.1111/exsy.12189
Representing and Learning Human Behavior Patterns with Contextual Variability
10.1007/978-3-319-64468-4_23
A Hybrid Model Using Hidden Markov Chain and Logic Model for Daily Living Activity Recognition
10.3390/proceedings2191266
Learning and managing context enriched behavior patterns in smart homes
https://doi.org/10.1016/j.future.2018.09.004
Integrating Activity Recognition and Nursing Care Records
10.1145/3351244
7th international workshop on human activity sensing corpus and applications (HASCA)
10.1145/3341162.3347765
Nurse care activity recognition challenge
10.1145/3341162.3345577
Reduction of marker-body matching work in activity recognition using motion capture
10.1145/3341162.3345591
Comparing Feature Learning Methods for Human Activity Recognition: Performance study in new user scenario
10.1109/iciev.2019.8858548
Improving Sensor-based Activity Recognition Using Motion Capture as Additional Information
10.1145/3267305.3267596
A Multi-Sensor Setting Activity Recognition Simulation Tool
10.1145/3267305.3267509
Characterizing Word Embeddings for Zero-Shot Sensor-Based Human Activity Recognition
10.3390/s19225043
MEASURed: Evaluating Sensor-Based Activity Recognition Scenarios by Simulating Accelerometer Measures from Motion Capture
10.1007/978-3-030-13001-5_10
Summary of the Sussex-Huawei locomotion-transportation recognition challenge 2019
10.1145/3341162.3344872
Learning and managing context enriched behavior patterns in smart homes
10.1016/j.future.2018.09.004
6th international workshop on human Activity Sensing Corpus and Applications (HASCA)
10.1145/3267305.3274145
The contextact@A4H real-life dataset of daily-living activities activity recognition using model checking
10.1007/978-3-319-57837-8_14
Nurse Care Activities Datasets: In laboratory and in real field
10.21227/mmb4-6z08
ContextAct @ A4H Dataset
10.17632/fcj2hmz5kb.3
Cooking activity dataset with macro and micro activities
10.21227/2fmv-ys90
Bento Packaging Activity Recognition Challenge
10.21227/cwhs-t440
Tsuyoshi Okita
Okita Tsuyoshi
/ 大北剛
ORCID: 0000-0002-1286-5496
Reduction of marker-body matching work in activity recognition using motion capture
10.1145/3341162.3345591
Pre-consulting dialogue systems for telemedicine: Yes/no intent classification
10.1145/3267305.3267704
Activity recognition: Translation across sensor modalities using deep learning
10.1145/3267305.3267512
Data cleaning for word alignment
10.3115/1667884.1667895
Summary of the Sussex-Huawei locomotion-transportation recognition challenge
10.1145/3267305.3267519
Evaluation of transfer learning for human activity recognition among different datasets
10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00155
A multi-sensor setting activity recognition simulation tool
10.1145/3267305.3267509
8th international workshop on human activity sensing corpus and applications (HASCA)
10.1145/3410530.3414612
6th international workshop on human Activity Sensing Corpus and Applications (HASCA)
10.1145/3267305.3274145
Dialogue breakdown detection with long short term memory
10.1007/978-3-319-90740-6_18
Recognition of multiple overlapping activities using compositional cnn-lstm model
10.1145/3123024.3123095
Minimum Bayes risk decoding with enlarged hypothesis space in system combination
10.1007/978-3-642-28601-8_4
Improvement of Human Action Recognition Using 3D Pose Estimation
10.1007/978-981-15-8944-7_2
Summary of the sussex-huawei locomotion-transportation recognition challenge 2020
10.1145/3410530.3414341
Perception of interaction between hand and object
10.1145/3410530.3414363
Summary of the Sussex-Huawei locomotion-transportation recognition challenge 2019
10.1145/3341162.3344872
Hierarchical Pitman-Yor language model for machine translation
10.1109/IALP.2010.34
7th international workshop on human Activity Sensing Corpus and Applications (HASCA)
10.1145/3341162.3347765
Nurse care activity recognition challenge: Summary and results
10.1145/3341162.3345577
Poster: Improving sensor-based activity recognition using motion capture as additional information
10.1145/3267305.3267596
Summary of the 2ndnurse care activity recognition challenge using lab and field data
10.1145/3410530.3414611
会議報告：The 33rd Conference on Neural Information Processing Systems（NeurIPS 2019）
10.11517/jjsai.35.3_465
会議報告：NeurIPS 2020（The 34th Conference on Neural Information Processing Systems）
10.11517/jjsai.36.4_527
