On strategies for budget-based online annotation in human activity recognition
Miu, T. Roggen, D. Missier, P. Plötz, T.
Daniel Roggen
Roggen Daniel
ORCID: 0000-0001-8033-6417
Enabling Reproducible Research in Sensor-Based Transportation Mode Recognition With the Sussex-Huawei Dataset 10.1109/ACCESS.2019.2890793
Flexible Sensors-From Materials to Applications 10.3390/technologies7020035
Thigh-derived inertial sensor metrics to assess the sit-to-stand and stand-to-sit transitions in the timed up and go (TUG) Task for quantifying mobility impairment in multiple sclerosis 10.3389/fneur.2018.00684
Collecting complex activity datasets in highly rich networked sensor environments 10.1109/INSS.2010.5573462
Potentials of enhanced context awareness in wearable assistants for Parkinson's disease patients with the freezing of gait syndrome 10.1109/ISWC.2009.14
Wearable assistant for Parkinsons disease patients with the freezing of gait symptom 10.1109/TITB.2009.2036165
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The University of Sussex-Huawei Locomotion and Transportation Dataset for Multimodal Analytics with Mobile Devices 10.1109/ACCESS.2018.2858933
Summary of the Sussex-Huawei locomotion-transportation recognition challenge 10.1145/3267305.3267519
Deep convolutional and LSTM recurrent neural networks for multimodal wearable activity recognition 10.3390/s16010115
Probing crowd density through smartphones in city-scale mass gatherings 10.1140/epjds17
Exploring the acceptability of google glass as an everyday assistive device for people with Parkinson's 10.1145/2556288.2557092
Feature learning for detection and prediction of freezing of gait in Parkinson's disease 10.1007/978-3-642-39712-7_11
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Shapesense3D - Textile-sensing and reconstruction of body geometries 10.1145/3341162.3343846
Flexible temperature sensor integration into e-textiles using different industrial yarn fabrication processes 10.3390/s20010073
Multimodal fusion of IMUs and EPS body-worn sensors for scratch recognition 10.1145/3421937.3421987
Electric field phase sensing for wearable orientation and localisation applications 10.1145/2971763.2971774
Wearable electric potential sensing: A new modality sensing hair touch and restless leg movement 10.1145/2968219.2968286
WLCSSLearn: Learning algorithm for template matching-based gesture recognition systems 10.1109/ICIEV.2019.8858539
Demo: Complex human gestures encoding from wearable inertial sensors for activity recognition 10.5555/3234847.3234883
Beach volleyball serve type recognition 10.1145/2971763.2971781
Limited-memory warping LCSS for real-time low-power pattern recognition in wireless nodes 10.1007/978-3-319-15582-1_10
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Towards an online detection of pedestrian flocks in urban canyons by smoothed spatio-temporal clustering of GPS trajectories 10.1145/2063212.2063220
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Benchmarking classification techniques using the opportunity human activity dataset 10.1109/ICSMC.2011.6083628
Collection and curation of a large reference dataset for activity recognition 10.1109/ICSMC.2011.6083638
Real-time detection and recommendation of thermal spots by sensing collective behaviors in paragliding 10.1145/2030066.2030070
Titan: An enabling framework for activity-aware pervasive apps in opportunistic personal area networks 10.1155/2011/172831
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It's in your eyes: Towards context-awareness and mobile HCI using wearable EOG goggles 10.1145/1409635.1409647
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Wearable EOG goggles: Eye-based interaction in everyday environments 10.1145/1520340.1520468
Towards an interactive snowboarding assistance system 10.1109/ISWC.2009.30
Evolution of embodied intelligence 10.1007/978-3-540-27833-7_23
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Time-lag method for detecting following and leadership behavior of pedestrians from mobile sensing data 10.1109/PerCom.2013.6526714
Using mobile technology and a participatory sensing approach for crowd monitoring and management during large-scale mass gatherings 10.1007/978-3-642-36614-7_4
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Ear-worn reference data collection and annotation for multimodal context-aware hearing instruments. 10.1109/EMBC.2012.6346464
Analyzing the impact of different action primitives in designing high-level human activity recognition systems 10.3233/AIS-130223
Robust activity recognition combining anomaly detection and classifier retraining 10.1109/BSN.2013.6575491
Network-level power-performance trade-off in wearable activity recognition: A dynamic sensor selection approach 10.1145/2345770.2345781
Opportunistic human activity and context recognition 10.1109/MC.2012.393
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The adARC pattern analysis architecture for adaptive human activity recognition systems 10.1007/s12652-011-0064-0
Engineers meet clinicians: Augmenting parkinson's disease patients to gather information for gait rehabilitation 10.1145/2459236.2459257
Tagging human activities in video by crowdsourcing 10.1145/2461466.2461508
Context cells: Towards lifelong learning in activity recognition systems 10.1007/978-3-642-04471-7_10
Bringing quality of context into wearable human activity recognition systems 10.1007/978-3-642-04559-2_15
Activity recognition in opportunistic sensor environments 10.1016/j.procs.2011.09.003
Mobile sensing of pedestrian flocks in indoor environments using WiFi signals 10.1109/PerCom.2012.6199854
Improving game accessibility with vibrotactile-enhanced hearing instruments 10.1007/978-3-642-31522-0_70
Kinect=IMU? Learning MIMO signal mappings to automatically translate activity recognition systems across sensor modalities 10.1109/ISWC.2012.17
Inferring crowd conditions from pedestrians' location traces for real-time crowd monitoring during city-scale mass gatherings 10.1109/WETICE.2012.26
Detecting pedestrian flocks by fusion of multi-modal sensors in mobile phones 10.1145/2370216.2370256
Automatic power-off for binaural hearing instruments 10.1007/978-3-642-34898-3_35
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Online detection of freezing of gait in Parkinson's disease patients: A performance characterization 10.4108/ICST.BODYNETS2009.5852
Bilateral vibrotactile feedback patterns for accurate lateralization in Hearing Instrument body area networks 10.4108/icst.bodynets.2011.246910
Identification of relevant multimodal cues to enhance context-aware hearing instruments 10.4108/icst.bodynets.2011.246911
Theme issue from ISWC 2013 10.1007/s00779-014-0814-z
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A morphogenetic evolutionary system: Phylogenesis of the poetic circuit 10.1007/3-540-36553-2_14
Ontogenetic development and fault tolerance in the POEtic tissue 10.1007/3-540-36553-2_13
CoenoSense: A framework for real-time detection and visualization of collective behaviors in human crowds by tracking mobile devices 10.1007/978-3-319-00395-5_46
ActionSLAM on a smartphone: At-home tracking with a fully wearable system 10.1109/IPIN.2013.6817874
Signal processing technologies for activity-aware smart textiles 10.1533/9780857093530.2.329
Exploration of head gesture control for hearing instruments 10.1504/IJAHUC.2014.064858
Gestures are Strings: Efficient online gesture spotting and classification using string matching 10.4108/bodynets.2007.143
Real time gesture recognition using Continuous Time Recurrent Neural Networks 10.4108/bodynets.2007.149
On-body activity recognition in a dynamic sensor network 10.4108/bodynets.2007.114
Service discovery and composition in body area networks 10.4108/ICST.BODYNETS2008.2951
Automatic correction of annotation boundaries in activity datasets by class separation maximization 10.1145/2494091.2495988
Improved actionSLAM for long-term indoor tracking with wearable motion sensors 10.1145/2493988.2494328
Chairs' summary/proposal for international workshop on human activity sensing corpus and its application (HASCA2013) 10.1145/2494091.2495992
Incorporating the rehabilitation of parkinson's disease in the play for health platform using a body area network 10.1007/978-3-319-00846-2_366
ISWC 2013 - Wearables Are Here to Stay 10.1109/MPRV.2014.11
5th Int. Workshop on human activity sensing corpus and applications (HASCA): Towards open-ended context awareness 10.1145/3123024.3124410
International workshop on human activity sensing corpus and its application (HASCA2015) 10.1145/2800835.2801621
Benchmarking deep classifiers on mobile devices for vision-based transportation recognition 10.1145/3341162.3344849
Summary of the Sussex-Huawei locomotion-transportation recognition challenge 2019 10.1145/3341162.3344872
WLCSSCUDA: A CUDA accelerated template matching method for gesture recognition 10.1145/3341163.3347718
A case study for human gesture recognition from poorly annotated data 10.1145/3267305.3267508
Human and machine recognition of transportation modes from body-worn camera images 10.1109/ICIEV.2019.8858537
Sound-based Transportation Mode Recognition with Smartphones 10.1109/ICASSP.2019.8682917
Benchmarking the SHL recognition challenge with classical and deep-learning pipelines 10.1145/3267305.3267531
Poster abstract: A versatile annotated dataset for multimodal locomotion analytics with mobile devices 10.1145/3131672.3136976
Poster abstract: High reliability android application for multidevice multimodal mobile data acquisition and annotation 10.1145/3131672.3136977
Unsupervised online activity discovery using temporal behaviour assumption 10.1145/3123021.3123044
Using wearable inertial sensors to compare different versions of the dual task paradigm during walking 10.1145/3121283.3121285
4th workshop on human activity sensing corpus and applications: Towards open-ended context awareness 10.1145/2968219.2968294
Exploring human activity annotation using a privacy preserving 3D model 10.1145/2968219.2968290
Deep convolutional feature transfer across mobile activity recognition domains, sensor modalities and locations 10.1145/2971763.2971764
Exploring Glass as a novel method for hands-free data entry in flexible cystoscopy 10.1145/2971648.2971671
3D ActionSLAM: Wearable person tracking in multi-floor environments 10.1007/s00779-014-0815-y
S-smart: A unified Bayesian framework for simultaneous semantic mapping, activity recognition, and tracking 10.1145/2824286
On strategies for budget-based online annotation in human activity recognition 10.1145/2638728.2641300
International workshop on human activity sensing corpus and its application (HASCA2014) 10.1145/2638728.2641314
Transportation Mode Recognition Fusing Wearable Motion, Sound, and Vision Sensors 10.1109/JSEN.2020.2987306
Deep Convolutional Feature Transfer Across Mobile Activity Recognition Domains, Sensor Modalities and Locations 10.1145/2971767.2971764
Improving Smartphone-Based Transport Mode Recognition Using Generative Adversarial Networks 10.1007/978-981-15-8944-7_5
Smartphone location identification and transport mode recognition using an ensemble of generative adversarial networks 10.1145/3410530.3414353
CausalBatch: Solving complexity/performance tradeoffs for deep convolutional and LSTM networks for wearable activity recognition 10.1145/3410530.3414365
Summary of the sussex-huawei locomotion-transportation recognition challenge 2020 10.1145/3410530.3414341
ARM cortex M4-based extensible multimodal wearable platform for sensor research and context sensing from motion & sound 10.1145/3410530.3414368
Mapping Vicon Motion Tracking to 6-Axis IMU Data for Wearable Activity Recognition 10.1007/978-981-15-8944-7_1
Coco Stretch: Strain Sensors Based on Natural Coconut Oil and Carbon Black Filled Elastomers 10.1002/admt.202000780
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Evaluation of a Pseudo Zero-Potential Flexible Readout Circuit for Resistive Sensor Matrixes 10.1109/FLEPS49123.2020.9239450
Opportunistic Activity Recognition in IoT Sensor Ecosystems via Multimodal Transfer Learning 10.1007/s11063-021-10468-z
Inferring complex textile shape from an integrated carbon black-infused ecoflex-based bend and stretch sensor array 10.1145/1122445.1122456
Soft gel-free ECG electrodes based on biocompatible coconut-oil and carbon black 10.1109/FLEPS51544.2021.9469731
Fast deep neural architecture search for wearable activity recognition by early prediction of converged performance 10.1145/3460421.3478813
Detecting Freezing of Gait with earables trained from VR motion capture data 10.1145/3460421.3478821
Three-Year Review of the 2018–2020 SHL Challenge on Transportation and Locomotion Mode Recognition From Mobile Sensors 10.3389/fcomp.2021.713719
Paolo Missier
Missier Paolo
ORCID: 0000-0002-0978-2446
Using wearable activity trackers to predict type 2 diabetes: Machine learning–based cross-sectional study of the UK Biobank accelerometer cohort 10.2196/23364
Optimising fairness through parametrised data sampling 10.5441/002/edbt.2021.49
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On strategies for budget-based online annotation in human activity recognition 10.1145/2638728.2641300
Modelling provenance using structured occurrence networks 10.1007/978-3-642-34222-6_14
Clustering provenance: Facilitating provenance exploration through data abstraction 10.1145/2939502.2939508
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The panel of experts cloud pattern 10.1145/2064085.2064091
Workflows for information integration in the life sciences 10.1007/978-3-642-19668-3_20
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An overview of S-OGSA: A Reference Semantic Grid Architecture 10.1016/j.websem.2006.03.001
Achieving reproducibility by combining provenance with service and workflow versioning 10.1145/2110497.2110512
Revealing the Detailed Lineage of Script Outputs Using Hybrid Provenance 10.2218/ijdc.v12i2.585
Provenance Annotation and Analysis to Support Process Re-computation 10.1007/978-3-319-98379-0_1
Versioned-PROV: A PROV Extension to Support Mutable Data Entities 10.1007/978-3-319-98379-0_7
Toward trusted open data and services 10.1002/itl2.69
A Customisable Pipeline for Continuously Harvesting Socially-Minded Twitter Users 10.1007/978-3-030-19274-7_8
Increasing phenotypic annotation improves the diagnostic rate of exome sequencing in a rare neuromuscular disorder 10.1002/humu.23792
VazaDengue: An information system for preventing and combating mosquito-borne diseases with social networks 10.1016/j.is.2018.02.003
Provider issues in qualityconstrained data provisioning 10.1145/1077501.1077507
Leveraging Blockchain to Enable Smart-Health Applications 10.1109/RTSI.2018.8548357
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Facilitating reproducible research by investigating computational metadata 10.1109/BigData.2016.7840958
Selective and Recurring Re-computation of Big Data Analytics Tasks: Insights from a Genomics Case Study 10.1016/j.bdr.2018.06.001
Why-Diff: Explaining differences amongst similar workflow runs by exploiting scientific metadata 10.1109/BigData.2017.8258275
Recruiting from the network: Discovering twitter users who can help combat zika epidemics 10.1007/978-3-319-60131-1_30
Analyzing Social Network Images with Deep Learning Models to Fight Zika Virus 10.1007/978-3-319-93000-8_69
TAPER: query-aware, partition-enhancement for large, heterogenous graphs 10.1007/s10619-017-7196-y
Why-Diff: Exploiting Provenance to Understand Outcome Differences from Non-Identical Reproduced Workflows 10.1109/ACCESS.2019.2903727
A framework for analyzing virtual enterprise infrastructure 10.1109/RIDE.1999.758584
Preserving the value of large scale data analytics over time through selective re-computation 10.1007/978-3-319-60795-5_6
Mind My Value: A decentralized infrastructure for fair and trusted IoT data trading 10.1145/3131542.3131564
Efficient Re-Computation of Big Data Analytics Processes in the Presence of Changes: Computational Framework, Reference Architecture, and Applications 10.1109/BigDataCongress.2019.00017
Exploiting execution provenance to explain difference between two data-intensive computations 10.1109/eScience.2018.00109
Report on the first international workshop on incremental re-computation: Provenance and beyond 10.1145/3335409.3335418
Using Wearable Activity Trackers to Predict Type 2 Diabetes: Machine Learning–Based Cross-sectional Study of the UK Biobank Accelerometer Cohort (Preprint) 10.2196/preprints.23364
Abstracting PROV provenance graphs: A validity-preserving approach 10.1016/j.future.2020.05.015
Toward a decentralized, trust-less marketplace for brokered IoT data trading using blockchain 10.1109/Blockchain.2019.00053
The Right (Provenance) Hammer for the Job: A Comparison of Data Provenance Instrumentation 10.1007/978-3-030-67681-0_3