ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1906.02399
  4. Cited By
SparseSense: Human Activity Recognition from Highly Sparse Sensor
  Data-streams Using Set-based Neural Networks

SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks

6 June 2019
Alireza Abedin Varamin
S. Hamid Rezatofighi
Javen Qinfeng Shi
D. Ranasinghe
ArXivPDFHTML

Papers citing "SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks"

4 / 4 papers shown
Title
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
74
2
0
11 Nov 2024
Community Learning: Understanding A Community Through NLP for Positive Impact
Towhid Chowdhury
Naveen Sharma
13
0
0
02 Oct 2022
DynImp: Dynamic Imputation for Wearable Sensing Data Through Sensory and
  Temporal Relatedness
DynImp: Dynamic Imputation for Wearable Sensing Data Through Sensory and Temporal Relatedness
Zepeng Huo
Taowei Ji
Yi Liang
Shuai Huang
Zhangyang Wang
Xiaoning Qian
Bobak J. Mortazavi
AI4TS
28
1
0
26 Sep 2022
Deep Learning for Sensor-based Human Activity Recognition: Overview,
  Challenges and Opportunities
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
Kaixuan Chen
Dalin Zhang
Lina Yao
Bin Guo
Zhiwen Yu
Yunhao Liu
HAI
28
619
0
21 Jan 2020
1