# Collecting complex activity datasets in highly rich networked sensor environments

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/collecting-complex-activity-datasets-in-highly-rich-networked-sensor/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Daniel Roggen,Alberto Calatroni,Mirco Rossi,Thomas Holleczek,Kilian Förster,Gerhard Tröster,Paul Lukowicz,David Bannach,Gerald Pirkl,Alois Ferscha,Jakob Doppler,Clemens Holzmann,Marc Kurz,Gerald Holl,Ricardo Chavarriaga,Hesam Sagha,Hamidreza Bayati,Marco Creatura,José del R. Millán |
| Citations | 758 |
| DOI | 10.1109/inss.2010.5573462 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | http://infoscience.epfl.ch/record/148362 |
| OpenAlex ID | https://openalex.org/W2126511896 |
| Type | conference-paper |
| Year | 2010 |

## Paper authors

- [Alois Ferscha](https://scholariq.org/researchers/alois-ferscha/)

## Paper primary topic

- [Context-Aware Activity Recognition Systems](https://scholariq.org/topics/context-aware-activity-recognition-systems/)

## Paper topics

- [Context-Aware Activity Recognition Systems](https://scholariq.org/topics/context-aware-activity-recognition-systems/)
- [Energy Efficient Wireless Sensor Networks](https://scholariq.org/topics/energy-efficient-wireless-sensor-networks/)
- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.