All Stories

  1. Models Got Talent: Identifying High Performing Wearable Human Activity Recognition Models Without Training
  2. StitchSense: Smart-Garment Sensing as a Source Domain for Watch-Based Activity Recognition
  3. Editors' Introduction to the Issue, September 2026
  4. Editors' Introduction to the Issue, June 2026
  5. Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook
  6. Editors' Introduction to the Issue, March 2026
  7. Generative AI and Foundation Models for Human Sensing (GenAI4HS)
  8. VISAR: Visualization and Interpretation of Sensor-based Activity Recognition for Smart Homes
  9. Thou Shalt Not Prompt: Zero-Shot Human Activity Recognition in Smart Homes via Language Modeling of Sensor Data & Activities
  10. Characterising Topic Familiarity and Query Specificity Using Eye-Tracking Data
  11. Past, Present, and Future of Sensor-based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task
  12. Transfer Learning in Sensor-Based Human Activity Recognition: A Survey
  13. Layout-Agnostic Human Activity Recognition in Smart Homes through Textual Descriptions Of Sensor Triggers (TDOST)
  14. Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition
  15. Game of LLMs: Discovering Structural Constructs in Activities using Large Language Models
  16. Solving the Sensor-Based Activity Recognition Problem (SOAR): Self-Supervised, Multi-Modal Recognition of Activities from Wearable Sensors
  17. More Data for People with Disabilities! Comparing Data Collection Efforts for Wheelchair Transportation Mode Detection
  18. Emotion Recognition on the Go: Utilizing Wearable IMUs for Personalized Emotion Recognition
  19. Sensor event sequence prediction for proactive smart home: A GPT2-based autoregressive language model approach
  20. IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity Recognition
  21. FingerSpeller: Typing with smart rings using the American Sign Language Alphabet
  22. Generating Virtual IMU Data using Generative AI
  23. Challenges in Using Skin Conductance Responses for Assessments of Information Worker Productivity
  24. How Much Unlabeled Data is Really Needed for Effective Self-Supervised Human Activity Recognition?
  25. Measuring the subtlety of activities from videos for the evaluation of synthetic IMU data
  26. Solving the Sensor-based Activity Recognition Problem (SOAR): Self-supervised, Multi-modal Recognition of Activities from Wearable Sensors
  27. ConvBoost
  28. Explainable Activity Recognition for Smart Home Systems
  29. Food, Mood, Context: Examining College Students’ Eating Context and Mental Well-being
  30. Clustering of Human Activities from Wearables by Adopting Nearest Neighbors
  31. Reinforcement Learning Based Online Active Learning for Human Activity Recognition
  32. A Personalized Approach for Developing a Snacking Detection System using Earbuds in a Semi-Naturalistic Setting
  33. On the Effectiveness of Virtual IMU Data for Eating Detection with Wrist Sensors
  34. Assessing the State of Self-Supervised Human Activity Recognition Using Wearables
  35. Bootstrapping Human Activity Recognition Systems for Smart Homes from Scratch
  36. Ubi-SleepNet
  37. On the Role of Context Length for Feature Extraction and Sequence Modeling in Human Activity Recognition
  38. Approaching the Real-World
  39. Applying Machine Learning for Sensor Data Analysis in Interactive Systems
  40. Contrastive Predictive Coding for Human Activity Recognition
  41. Generalized and Efficient Skill Assessment from IMU Data with Applications in Gymnastics and Medical Training
  42. Deriving Effective Human Activity Recognition Systems through Objective Task Complexity Assessment
  43. IMUTube
  44. Masked reconstruction based self-supervision for human activity recognition
  45. Sensing Affect to Empower Students
  46. Multi-target affect detection in the wild
  47. Handling annotation uncertainty in human activity recognition
  48. On the role of features in human activity recognition
  49. Towards Reliable, Automated General Movement Assessment for Perinatal Stroke Screening in Infants Using Wearable Accelerometers
  50. Assessing the Quality of Home Detection from Mobile Phone Data for Official Statistics
  51. On specialized window lengths and detector based human activity recognition
  52. On attention models for human activity recognition
  53. Adding structural characteristics to distribution-based accelerometer representations for activity recognition using wearables
  54. Seesaw
  55. FingerPing
  56. Comparing Regional Patterns of Individual Movement Using Corrected Mobility Entropy
  57. A Unified Model for User Identification on Multi-Touch Surfaces: A Survey and Meta-Analysis
  58. Activity Recognition for Quality Assessment of Batting Shots in Cricket using a Hierarchical Representation
  59. Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
  60. Prototyping Ubiquitous Imaging Surfaces