Naturalistic Recognition of Activities and Mood Using Wearable Electronics. | 2 | 0.47 | 2016 |
Recognizing composite daily activities from crowd-labelled social media data. | 3 | 0.44 | 2016 |
The role of wrist-mounted inertial sensors in detecting gait freeze episodes in Parkinson's disease. | 6 | 0.56 | 2016 |
Gait, wrist, and sensors: Detecting freezing of gait in Parkinson's disease from wrist movement | 1 | 0.35 | 2015 |
A Wearable Assistant for Gait Training for Parkinson’s Disease with Freezing of Gait in Out-of-the-Lab Environments | 9 | 0.64 | 2015 |
Smart crowds in smart cities: real life, city scale deployments of a smartphone based participatory crowd management platform | 10 | 0.54 | 2015 |
Introduction to the Special Issue on Activity Recognition for Interaction | 1 | 0.35 | 2015 |
Crowdsourced pedestrian map construction for short-term city-scale events | 5 | 0.41 | 2014 |
Capturing crowd dynamics at large scale events using participatory GPS-localization | 31 | 1.39 | 2014 |
How to Save Human Lives with Complexity Science. | 4 | 0.48 | 2014 |
A tutorial on human activity recognition using body-worn inertial sensors | 319 | 10.26 | 2014 |
Inferring travel purpose from crowd-augmented human mobility data | 3 | 0.40 | 2014 |
GaitAssist: A wearable assistant for gait training and rehabilitation in Parkinson's disease | 8 | 0.74 | 2014 |
The telepathic phone: Frictionless activity recognition from WiFi-RSSI | 32 | 1.11 | 2014 |
GaitAssist: a daily-life support and training system for parkinson's disease patients with freezing of gait | 20 | 1.15 | 2014 |
Fusing on-body sensing with local and temporal cues for daily activity recognition | 3 | 0.39 | 2014 |
Human activity recognition using social media data | 6 | 0.46 | 2013 |
User independent, multi-modal spotting of subtle arm actions with minimal training data | 0 | 0.34 | 2013 |
Engineers meet clinicians: augmenting Parkinson's disease patients to gather information for gait rehabilitation | 9 | 1.00 | 2013 |
Combining crowd-generated media and personal data: semi-supervised learning for context recognition | 6 | 0.45 | 2013 |
Prior knowledge of human activities from social data | 3 | 0.38 | 2013 |
Low-Power Ambient Sensing in Smartphones for Continuous Semantic Localization. | 5 | 0.47 | 2013 |
Towards scalable activity recognition: adapting zero-effort crowdsourced acoustic models | 6 | 0.43 | 2013 |
I spy with my little eye: Learning optimal filters for cross-modal stereo under projected patterns | 0 | 0.34 | 2011 |
Improving The Kinect By Cross-Modal Stereo | 29 | 1.29 | 2011 |
South by South-East or Sitting at the Desk: Can Orientation be a Place? | 3 | 0.87 | 2011 |
Towards human motion capturing using gyroscopeless orientation estimation | 1 | 0.36 | 2010 |
Remember and transfer what you have learned - recognizing composite activities based on activity spotting | 22 | 1.44 | 2010 |
All for one or one for all? Combining heterogeneous features for activity spotting | 12 | 0.72 | 2010 |
Characterizing sleeping trends from postures | 2 | 0.47 | 2010 |
An Analysis of Sensor-Oriented vs. Model-Based Activity Recognition | 26 | 1.31 | 2009 |
Daily Routine Recognition through Activity Spotting | 33 | 2.08 | 2009 |
Scalable recognition of daily activities with wearable sensors | 79 | 3.93 | 2007 |