# A sequential deep learning application for recognising human activities in smart homes

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-sequential-deep-learning-application-for-recognising-human-activities-in-smart/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Daniele Liciotti,Michele Bernardini,Luca Romeo,Emanuele Frontoni |
| Citations | 178 |
| DOI | 10.1016/j.neucom.2018.10.104 |
| Fields | Computer Science,Engineering,Social Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2940791683 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Emanuele Frontoni](https://scholariq.org/researchers/emanuele-frontoni/)

## 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/)
- [Human Mobility and Location-Based Analysis](https://scholariq.org/topics/human-mobility-and-location-based-analysis/)
- [IoT-based Smart Home Systems](https://scholariq.org/topics/iot-based-smart-home-systems/)

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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.