Human Activity Sensing Corpus and Applications /
Activity recognition has emerged as a challenging and high-impact research field, as over the past years smaller and more powerful sensors have been introduced in wide-spread consumer devices. Validation of techniques and algorithms requires large-scale human activity corpuses and improved methods t...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , , , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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Έκδοση: | 1st ed. 2019. |
Σειρά: | Springer Series in Adaptive Environments,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Optimizing of the Number and Placements of Wearable IMUs for Automatic Rehabilitation Recording
- Identifying Sensors via Statistical Analysis of Body-Worn Inertial Sensor Data
- Compensation Scheme for PDR using Component-wise Error Models
- Towards the Design and Evaluation of Robust Audio-Sensing Systems
- A Wi-Fi Positioning Method Considering Radio Attenuation of Human Body
- Drinking gesture recognition from poorly annotated data: a case study
- Understanding how Non-experts Collect and Annotate Activity Data
- MEASURed: Evaluating Sensor-based Activity Recognition Scenarios by Simulating Accelerometer Measures from Motion Capture
- Benchmark performance for the Sussex-Huawei locomotion and transportation recognition challenge 2018
- Effects of Activity Recognition Window Size and Time Stabilization in the SHL Recognition Challenge.