This dataset contains acceleration and angular velocity measurement results from wrist-worn sensors and physiological data collected using medical devices (blood pressure meter, pulse oximeter, thermometer, bathroom scale, and glucometer) during a pilot study of the PerHeart platform in Poland. It includes data from 27 older adults with heart failure history who participated in one-month long trials. Eight adults’ activities were measured using inertial sensors resulting in 2,536 hours of acceleration and angular velocity. The dataset also provides step count data (over 687,000 steps detected) and barometric pressure readings. These data can support research on daily activity patterns and gait analysis in older individuals with heart failure, and are well-suited for machine learning applications, including semi-supervised learning scenarios using unlabeled time-series data. More information on the dataset are provided in the dataset_description.pdf file. The dataset contents were also described in the descriptor published in MDPI Data. When using the dataset, please cite also the following paper: Kolakowski, M.; Djaja-Josko, V.; Kolakowski, J.; Mocanu, I.G.; Cramariuc, O.; Perera, I.; Gąsowski, J.; Piotrowicz, K. Multimodal Dataset of In-Home Physiological and Inertial Measurements from Older Heart Failure Patients. Data 2026, 11, 106. https://doi.org/10.3390/data11050106