All Stories

  1. Generative AI and Foundation Models for Human Sensing (GenAI4HS)
  2. VISAR: Visualization and Interpretation of Sensor-based Activity Recognition for Smart Homes
  3. Thou Shalt Not Prompt: Zero-Shot Human Activity Recognition in Smart Homes via Language Modeling of Sensor Data & Activities
  4. Characterising Topic Familiarity and Query Specificity Using Eye-Tracking Data
  5. Past, Present, and Future of Sensor-based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task
  6. Transfer Learning in Sensor-Based Human Activity Recognition: A Survey
  7. Layout-Agnostic Human Activity Recognition in Smart Homes through Textual Descriptions Of Sensor Triggers (TDOST)
  8. Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition
  9. Game of LLMs: Discovering Structural Constructs in Activities using Large Language Models
  10. Solving the Sensor-Based Activity Recognition Problem (SOAR): Self-Supervised, Multi-Modal Recognition of Activities from Wearable Sensors
  11. More Data for People with Disabilities! Comparing Data Collection Efforts for Wheelchair Transportation Mode Detection
  12. Emotion Recognition on the Go: Utilizing Wearable IMUs for Personalized Emotion Recognition
  13. Sensor event sequence prediction for proactive smart home: A GPT2-based autoregressive language model approach
  14. IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity Recognition
  15. FingerSpeller: Typing with smart rings using the American Sign Language Alphabet
  16. Generating Virtual IMU Data using Generative AI
  17. Challenges in Using Skin Conductance Responses for Assessments of Information Worker Productivity
  18. How Much Unlabeled Data is Really Needed for Effective Self-Supervised Human Activity Recognition?
  19. Measuring the subtlety of activities from videos for the evaluation of synthetic IMU data
  20. Solving the Sensor-based Activity Recognition Problem (SOAR): Self-supervised, Multi-modal Recognition of Activities from Wearable Sensors
  21. ConvBoost
  22. Explainable Activity Recognition for Smart Home Systems
  23. Food, Mood, Context: Examining College Students’ Eating Context and Mental Well-being
  24. Clustering of Human Activities from Wearables by Adopting Nearest Neighbors
  25. Reinforcement Learning Based Online Active Learning for Human Activity Recognition
  26. A Personalized Approach for Developing a Snacking Detection System using Earbuds in a Semi-Naturalistic Setting
  27. On the Effectiveness of Virtual IMU Data for Eating Detection with Wrist Sensors
  28. Assessing the State of Self-Supervised Human Activity Recognition Using Wearables
  29. Bootstrapping Human Activity Recognition Systems for Smart Homes from Scratch
  30. Ubi-SleepNet
  31. On the Role of Context Length for Feature Extraction and Sequence Modeling in Human Activity Recognition
  32. Approaching the Real-World
  33. Applying Machine Learning for Sensor Data Analysis in Interactive Systems
  34. Contrastive Predictive Coding for Human Activity Recognition
  35. Generalized and Efficient Skill Assessment from IMU Data with Applications in Gymnastics and Medical Training
  36. Deriving Effective Human Activity Recognition Systems through Objective Task Complexity Assessment
  37. IMUTube
  38. Masked reconstruction based self-supervision for human activity recognition
  39. Sensing Affect to Empower Students
  40. Multi-target affect detection in the wild
  41. Handling annotation uncertainty in human activity recognition
  42. On the role of features in human activity recognition
  43. Towards Reliable, Automated General Movement Assessment for Perinatal Stroke Screening in Infants Using Wearable Accelerometers
  44. Assessing the Quality of Home Detection from Mobile Phone Data for Official Statistics
  45. On specialized window lengths and detector based human activity recognition
  46. On attention models for human activity recognition
  47. Adding structural characteristics to distribution-based accelerometer representations for activity recognition using wearables
  48. Seesaw
  49. FingerPing
  50. Comparing Regional Patterns of Individual Movement Using Corrected Mobility Entropy
  51. A Unified Model for User Identification on Multi-Touch Surfaces: A Survey and Meta-Analysis
  52. Activity Recognition for Quality Assessment of Batting Shots in Cricket using a Hierarchical Representation
  53. Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
  54. Prototyping Ubiquitous Imaging Surfaces