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Assessing the State of Self-Supervised Human Activity Recognition using
  Wearables

Assessing the State of Self-Supervised Human Activity Recognition using Wearables

22 February 2022
H. Haresamudram
Irfan Essa
Thomas Plötz
    SSL
ArXivPDFHTML

Papers citing "Assessing the State of Self-Supervised Human Activity Recognition using Wearables"

46 / 46 papers shown
Title
PIM: Physics-Informed Multi-task Pre-training for Improving Inertial Sensor-Based Human Activity Recognition
PIM: Physics-Informed Multi-task Pre-training for Improving Inertial Sensor-Based Human Activity Recognition
Dominique Nshimyimana
Vitor Fortes Rey
Sungho Suh
Bo Zhou
P. Lukowicz
AI4CE
46
0
0
23 Mar 2025
In Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models against Variability
Azhar Ali Khaked
Nobuyuki Oishi
Daniel Roggen
Paula Lago
47
0
0
14 Mar 2025
Frequency-Aware Masked Autoencoders for Human Activity Recognition using Accelerometers
Frequency-Aware Masked Autoencoders for Human Activity Recognition using Accelerometers
Niels R. Lorenzen
P. Jennum
Emmanuel Mignot
A. Brink-Kjaer
36
0
0
17 Feb 2025
Past, Present, and Future of Sensor-Based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task
Past, Present, and Future of Sensor-Based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task
H. Haresamudram
Chi Ian Tang
Sungho Suh
P. Lukowicz
Thomas Ploetz
76
2
0
11 Nov 2024
Limitations in Employing Natural Language Supervision for Sensor-Based
  Human Activity Recognition -- And Ways to Overcome Them
Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition -- And Ways to Overcome Them
H. Haresamudram
Apoorva Beedu
Mashfiqui Rabbi
Sankalita Saha
Irfan Essa
Thomas Ploetz
31
4
0
21 Aug 2024
Large Language Models are Zero-Shot Recognizers for Activities of Daily Living
Large Language Models are Zero-Shot Recognizers for Activities of Daily Living
Gabriele Civitarese
Michele Fiori
Priyankar Choudhary
Claudio Bettini
34
5
0
01 Jul 2024
Maintenance Required: Updating and Extending Bootstrapped Human Activity
  Recognition Systems for Smart Homes
Maintenance Required: Updating and Extending Bootstrapped Human Activity Recognition Systems for Smart Homes
S. Hiremath
Thomas Ploetz
21
1
0
20 Jun 2024
Using Self-supervised Learning Can Improve Model Fairness
Using Self-supervised Learning Can Improve Model Fairness
Sofia Yfantidou
Dimitris Spathis
Marios Constantinides
Athena Vakali
Daniele Quercia
F. Kawsar
64
4
0
04 Jun 2024
Layout Agnostic Human Activity Recognition in Smart Homes through
  Textual Descriptions Of Sensor Triggers (TDOST)
Layout Agnostic Human Activity Recognition in Smart Homes through Textual Descriptions Of Sensor Triggers (TDOST)
Megha Thukral
Sourish Gunesh Dhekane
S. Hiremath
H. Haresamudram
Thomas Ploetz
40
3
0
20 May 2024
Preliminary Investigation of SSL for Complex Work Activity Recognition
  in Industrial Domain via MoIL
Preliminary Investigation of SSL for Complex Work Activity Recognition in Industrial Domain via MoIL
Qingxin Xia
Takuya Maekawa
Jaime Morales
Takahiro Hara
Hirotomo Oshima
Masamitsu Fukuda
Y. Namioka
33
1
0
21 Apr 2024
Comparing Self-Supervised Learning Techniques for Wearable Human
  Activity Recognition
Comparing Self-Supervised Learning Techniques for Wearable Human Activity Recognition
Sannara Ek
Riccardo Presotto
Gabriele Civitarese
Franccois Portet
P. Lalanda
Claudio Bettini
HAI
25
1
0
08 Apr 2024
SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task Replay
SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task Replay
Hyungjun Yoon
Jaehyun Kwak
Biniyam Aschalew Tolera
Gaole Dai
Mo Li
Taesik Gong
Kimin Lee
Sung-Ju Lee
SSL
VLM
41
0
0
29 Mar 2024
ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models
ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models
Luca Arrotta
Claudio Bettini
Gabriele Civitarese
Michele Fiori
45
8
0
11 Mar 2024
Evaluating Large Language Models as Virtual Annotators for Time-series
  Physical Sensing Data
Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Data
Aritra Hota
S. Chatterjee
Sandip Chakraborty
32
11
0
02 Mar 2024
CAPTURE-24: A large dataset of wrist-worn activity tracker data
  collected in the wild for human activity recognition
CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition
Shing Chan
Hang Yuan
Catherine Tong
Aidan Acquah
Abram Schonfeldt
Jonathan Gershuny
Aiden Doherty
25
5
0
29 Feb 2024
Advancing Location-Invariant and Device-Agnostic Motion Activity
  Recognition on Wearable Devices
Advancing Location-Invariant and Device-Agnostic Motion Activity Recognition on Wearable Devices
Rebecca Adaimi
Abdelkareem Bedri
Jun Gong
Richard Kang
Joanna Arreaza-Taylor
Gerri-Michelle Pascual
Michael Ralph
Gierad Laput
HAI
13
1
0
06 Feb 2024
SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing
  Applications using a Generative Approach
SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach
Tianshi Wang
Jinyang Li
Ruijie Wang
Denizhan Kara
Shengzhong Liu
Davis Wertheimer
Antoni Viros i Martin
R. Ganti
M. Srivatsa
Tarek F. Abdelzaher
22
6
0
03 Feb 2024
IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based
  Human Activity Recognition
IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity Recognition
Zi-Jian Leng
Amitrajit Bhattacharjee
Hrudhai Rajasekhar
Lizhe Zhang
Elizabeth Bruda
Hyeokhyen Kwon
Thomas Plötz
VLM
36
13
0
01 Feb 2024
Transfer Learning in Human Activity Recognition: A Survey
Transfer Learning in Human Activity Recognition: A Survey
Sourish Gunesh Dhekane
Thomas Ploetz
MU
AI4TS
35
34
0
18 Jan 2024
Representation Learning for Wearable-Based Applications in the Case of
  Missing Data
Representation Learning for Wearable-Based Applications in the Case of Missing Data
Janosch Jungo
Yutong Xiang
S. Gashi
Christian Holz
29
1
0
08 Jan 2024
Evaluating Fairness in Self-supervised and Supervised Models for
  Sequential Data
Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data
Sofia Yfantidou
Dimitris Spathis
Marios Constantinides
Athena Vakali
Daniele Quercia
F. Kawsar
55
2
0
03 Jan 2024
rTsfNet: a DNN model with Multi-head 3D Rotation and Time Series Feature
  Extraction for IMU-based Human Activity Recognition
rTsfNet: a DNN model with Multi-head 3D Rotation and Time Series Feature Extraction for IMU-based Human Activity Recognition
Yu Enokibori
16
1
0
30 Oct 2023
Cross-Domain HAR: Few Shot Transfer Learning for Human Activity
  Recognition
Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition
Megha Thukral
H. Haresamudram
Thomas Ploetz
31
4
0
22 Oct 2023
On the Benefit of Generative Foundation Models for Human Activity
  Recognition
On the Benefit of Generative Foundation Models for Human Activity Recognition
Zi-Jian Leng
Hyeokhyen Kwon
Thomas Plötz
VGen
11
2
0
18 Oct 2023
The first step is the hardest: Pitfalls of Representing and Tokenizing
  Temporal Data for Large Language Models
The first step is the hardest: Pitfalls of Representing and Tokenizing Temporal Data for Large Language Models
Dimitris Spathis
F. Kawsar
AI4TS
26
18
0
12 Sep 2023
CroSSL: Cross-modal Self-Supervised Learning for Time-series through
  Latent Masking
CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking
Shohreh Deldari
Dimitris Spathis
Mohammad Malekzadeh
F. Kawsar
Flora D. Salim
Akhil Mathur
27
16
0
31 Jul 2023
Don't freeze: Finetune encoders for better Self-Supervised HAR
Don't freeze: Finetune encoders for better Self-Supervised HAR
Vitor Fortes Rey
Dominique Nshimyimana
P. Lukowicz
31
8
0
03 Jul 2023
Combining Public Human Activity Recognition Datasets to Mitigate Labeled
  Data Scarcity
Combining Public Human Activity Recognition Datasets to Mitigate Labeled Data Scarcity
Riccardo Presotto
Sannara Ek
Gabriele Civitarese
François Portet
P. Lalanda
Claudio Bettini
20
7
0
23 Jun 2023
Towards Learning Discrete Representations via Self-Supervision for
  Wearables-Based Human Activity Recognition
Towards Learning Discrete Representations via Self-Supervision for Wearables-Based Human Activity Recognition
H. Haresamudram
Irfan Essa
Thomas Ploetz
29
7
0
01 Jun 2023
ConvBoost: Boosting ConvNets for Sensor-based Activity Recognition
ConvBoost: Boosting ConvNets for Sensor-based Activity Recognition
Shuai Shao
Yu Guan
B. Zhai
P. Missier
Thomas Ploetz
HAI
17
6
0
22 May 2023
Evaluation of self-supervised pre-training for automatic infant movement
  classification using wearable movement sensors
Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors
Einari Vaaras
Manu Airaksinen
S. Vanhatalo
Okko Rasanen
22
4
0
16 May 2023
Human Activity Recognition Using Self-Supervised Representations of
  Wearable Data
Human Activity Recognition Using Self-Supervised Representations of Wearable Data
Maximilien Burq
Niranjan Sridhar
32
0
0
26 Apr 2023
SelfAct: Personalized Activity Recognition based on Self-Supervised and
  Active Learning
SelfAct: Personalized Activity Recognition based on Self-Supervised and Active Learning
Luca Arrotta
Gabriele Civitarese
Samuele Valente
Claudio Bettini
24
1
0
19 Apr 2023
Simple Yet Surprisingly Effective Training Strategies for LSTMs in
  Sensor-Based Human Activity Recognition
Simple Yet Surprisingly Effective Training Strategies for LSTMs in Sensor-Based Human Activity Recognition
Shuai Shao
Yushi Guan
Xin Guan
P. Missier
Thomas Ploetz
HAI
28
2
0
23 Dec 2022
Investigating Enhancements to Contrastive Predictive Coding for Human
  Activity Recognition
Investigating Enhancements to Contrastive Predictive Coding for Human Activity Recognition
H. Haresamudram
Irfan Essa
Thomas Ploetz
AI4TS
30
15
0
11 Nov 2022
IMG2IMU: Translating Knowledge from Large-Scale Images to IMU Sensing
  Applications
IMG2IMU: Translating Knowledge from Large-Scale Images to IMU Sensing Applications
Hyungjun Yoon
Hyeong-Tae Cha
Hoang C. Nguyen
Taesik Gong
Sungyeop Lee
VLM
SSL
24
0
0
02 Sep 2022
Self-supervised Learning for Human Activity Recognition Using 700,000
  Person-days of Wearable Data
Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data
H. Yuan
Shing Chan
Andrew P. Creagh
C. Tong
Aidan Acquah
David A. Clifton
Aiden Doherty
SSL
21
79
0
06 Jun 2022
ColloSSL: Collaborative Self-Supervised Learning for Human Activity
  Recognition
ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition
Yash Jain
Chi Ian Tang
Chulhong Min
F. Kawsar
Akhil Mathur
SSL
24
53
0
01 Feb 2022
With a Little Help from My Friends: Nearest-Neighbor Contrastive
  Learning of Visual Representations
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations
Debidatta Dwibedi
Y. Aytar
Jonathan Tompson
P. Sermanet
Andrew Zisserman
SSL
188
454
0
29 Apr 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
317
5,785
0
29 Apr 2021
The GEM Benchmark: Natural Language Generation, its Evaluation and
  Metrics
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Sebastian Gehrmann
Tosin P. Adewumi
Karmanya Aggarwal
Pawan Sasanka Ammanamanchi
Aremu Anuoluwapo
...
Nishant Subramani
Wei-ping Xu
Diyi Yang
Akhila Yerukola
Jiawei Zhou
VLM
254
285
0
02 Feb 2021
On the surprising similarities between supervised and self-supervised
  models
On the surprising similarities between supervised and self-supervised models
Robert Geirhos
Kantharaju Narayanappa
Benjamin Mitzkus
Matthias Bethge
Felix Wichmann
Wieland Brendel
OOD
SSL
DRL
74
46
0
16 Oct 2020
Federated Self-Supervised Learning of Multi-Sensor Representations for
  Embedded Intelligence
Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence
Aaqib Saeed
Flora D. Salim
T. Ozcelebi
J. Lukkien
FedML
SSL
101
98
0
25 Jul 2020
Bag of Tricks for Image Classification with Convolutional Neural
  Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He
Zhi-Li Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
221
1,399
0
04 Dec 2018
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
201
882
0
03 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,959
0
20 Apr 2018
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