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Human Activity Recognition using Inertial, Physiological and
  Environmental Sensors: a Comprehensive Survey

Human Activity Recognition using Inertial, Physiological and Environmental Sensors: a Comprehensive Survey

19 April 2020
Florenc Demrozi
G. Pravadelli
A. Bihorac
Parisa Rashidi
ArXivPDFHTML

Papers citing "Human Activity Recognition using Inertial, Physiological and Environmental Sensors: a Comprehensive Survey"

8 / 8 papers shown
Title
Natively neuromorphic LMU architecture for encoding-free SNN-based HAR
  on commercial edge devices
Natively neuromorphic LMU architecture for encoding-free SNN-based HAR on commercial edge devices
Vittorio Fra
Benedetto Leto
Andrea Pignata
Enrico Macii
Gianvito Urgese
31
1
0
04 Jul 2024
Optimum signal duration for Human Activity Recognition based on Deep
  Convolutional Neural Networks
Optimum signal duration for Human Activity Recognition based on Deep Convolutional Neural Networks
Farhad Nazari
Arian Shajari
D. Nahavandi
N. Mohajer
30
0
0
17 Jun 2024
MultiWave: Multiresolution Deep Architectures through Wavelet
  Decomposition for Multivariate Time Series Prediction
MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction
I. Deznabi
M. Fiterau
AI4TS
38
5
0
16 Jun 2023
Hang-Time HAR: A Benchmark Dataset for Basketball Activity Recognition
  using Wrist-Worn Inertial Sensors
Hang-Time HAR: A Benchmark Dataset for Basketball Activity Recognition using Wrist-Worn Inertial Sensors
Alexander Hoelzemann
Julia Lee Romero
Marius Bock
Kristof Van Laerhoven
Qin Lv
30
19
0
22 May 2023
A Survey on Multi-Resident Activity Recognition in Smart Environments
A Survey on Multi-Resident Activity Recognition in Smart Environments
Farhad Shiri
Thinagaran Perumal
N. Mustapha
Raihani Mohamed
Mohd Anuaruddin Bin Ahmadon
S. Yamaguchi
20
8
0
24 Apr 2023
Video-based Pose-Estimation Data as Source for Transfer Learning in
  Human Activity Recognition
Video-based Pose-Estimation Data as Source for Transfer Learning in Human Activity Recognition
Shrutarv Awasthi
Fernando Moya Rueda
Gernot A. Fink
21
1
0
02 Dec 2022
B-HAR: an open-source baseline framework for in depth study of human
  activity recognition datasets and workflows
B-HAR: an open-source baseline framework for in depth study of human activity recognition datasets and workflows
Florenc Demrozi
Cristian Turetta
G. Pravadelli
22
8
0
23 Jan 2021
From User-independent to Personal Human Activity Recognition Models
  Exploiting the Sensors of a Smartphone
From User-independent to Personal Human Activity Recognition Models Exploiting the Sensors of a Smartphone
Pekka Siirtola
Heli Koskimäki
J. Röning
HAI
9
6
0
29 May 2019
1