Transfer learning for activity recognition: A survey
Many intelligent systems that focus on the needs of a human require information about the
activities being performed by the human. At the core of this capability is activity recognition …
activities being performed by the human. At the core of this capability is activity recognition …
Transfer learning for time series classification
Transfer learning for deep neural networks is the process of first training a base network on
a source dataset, and then transferring the learned features (the network's weights) to a …
a source dataset, and then transferring the learned features (the network's weights) to a …
Literature review on transfer learning for human activity recognition using mobile and wearable devices with environmental technology
Activity recognition systems utilise data from sensors in mobile, environmental and wearable
devices, ubiquitously available to individuals. It is a growing research area within intelligent …
devices, ubiquitously available to individuals. It is a growing research area within intelligent …
An activity monitoring system for elderly care using generative and discriminative models
An activity monitoring system allows many applications to assist in care giving for elderly in
their homes. In this paper we present a wireless sensor network for unintrusive observations …
their homes. In this paper we present a wireless sensor network for unintrusive observations …
A fine-tuning based approach for daily activity recognition between smart homes
Y Yu, K Tang, Y Liu - Applied Sciences, 2023 - mdpi.com
Daily activity recognition between different smart home environments faces some
challenges, such as an insufficient amount of data and differences in data distribution …
challenges, such as an insufficient amount of data and differences in data distribution …
[PDF][PDF] Optimal search map** among sensors in heterogeneous smart homes
Y Yu, Z Hao, G Li, Y Liu, R Yang, H Liu - Math. Biosci. Eng, 2023 - aimspress.com
There are huge differences in the layouts and numbers of sensors in different smart home
environments. Daily activities performed by residents trigger a variety of sensor event …
environments. Daily activities performed by residents trigger a variety of sensor event …
Transferring knowledge of activity recognition across sensor networks
A problem in performing activity recognition on a large scale (ie in many homes) is that a
labelled data set needs to be recorded for each house activity recognition is performed in …
labelled data set needs to be recorded for each house activity recognition is performed in …
Transfer learning in human activity recognition: A survey
SG Dhekane, T Ploetz - ar** (FSR)
Transfer learning aims to improve performance on a target task by utilizing previous
knowledge learned from source tasks. In this paper we introduce a novel heterogeneous …
knowledge learned from source tasks. In this paper we introduce a novel heterogeneous …