The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition
By Ricardo Chavarriaga, Hesam Sagha, Alberto Calatroni, Sundara Tejaswi Digumarti, Gerhard Tröster, José del R. Millán, Daniel Roggen. 2013
761 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Water Science and Technology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Hamed Haddadi
- Jindong Wang
- Andrea Cavallaro
- Yiqiang Chen
- Mohammad Malekzadeh
- Richard G. Clegg
- Philip S. Yu
- Maoguo Gong
In Computer Vision and Pattern Recognition
- Jindong Wang
- Hamed Haddadi
- Yiqiang Chen
- Andrea Cavallaro
- Richard G. Clegg
- Mohammad Malekzadeh
- Francisco Javier Ordonez
- Jae-Young Pyun
Citations in the corpus
- Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances (2021, methodology): “Extensive experiments are performed on Opportunity [59], Skoda [316], and Hand-Gesture [49] datasets.”
- Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors (2017, methodology): “Opportunity data set.”
- LSTM-CNN Architecture for Human Activity Recognition (2020, methodology): “In terms of the sensor setting, theOPPORTUNITY challenge guidelines [33] were adopted.”
- Stratified Transfer Learning for Cross-domain Activity Recognition (2017, background): “OPPORTU-NITY dataset ( OPP ) [42] is composed of 4 subjects executing different levels of activities with sensors tied to more than 5 body parts.”
- Toward Information Privacy for the Internet of Things: A Nonparametric Learning Approach (2018, methodology): “We test our algorithm on the OPPORTUNITY Activity Recognition Data Set [58] and Census (Adult) Data Set (both available at UCI Repository[56]), and compare its performance with RUCA [32] and MDR [31].”
- Privacy and Utility Preserving Sensor-Data Transformations (2019, methodology): “Opportunity [39] is composed of the collected data of 4 users and there are 18 gestures classes.”