A new arXiv paper introduces DeepFeature, a method that uses large language models to generate contextual features from biosignal data collected by wearable devices. The approach aims to improve the features available to machine learning models in healthcare applications while keeping data dimensionality manageable. The work is presented as a revision of a prior submission.
Researchers present EdgeHAR, a compact foundation model for sensor-based human activity recognition that is built to run on edge devices rather than in the cloud. The work targets common real-world problems such as shifts in sensing conditions, including unfamiliar users and devices. It is described as an edge-native approach to wearable and ubiquitous computing.
A preprint describes an active noise cancellation approach designed for open-ear smart glasses, where the usual in-ear error microphone cannot be used. Conventional ANC depends on measuring residual sound at the ear canal, which the authors say is not feasible for this form factor. The work is posted on arXiv as a cross-list replacement and has not been peer reviewed.
Researchers have introduced RevalExo, a public benchmark for evaluating systems that recognize locomotion modes from inertial sensor and camera data recorded during daily activities, with a focus on older adults and clinical populations. Reliable movement classification is essential for assistive devices such as powered exoskeletons, which need to adjust their control strategies based on a user's activity. A revised version of the paper is available on arXiv.
A German tech outlet examines Apple's Audio Intelligence feature, which is designed to detect and interpret speech picked up by the Apple Watch worn by millions of users. The piece frames the always-available listening capability as a potential step toward a surveillance-heavy future. It questions how such ambient audio processing fits with expectations of privacy on a wrist-worn device.
Apple's latest Apple Watch models include AI capabilities that can transcribe recent speech and summarize nearby conversations without storing raw audio. The company says recordings are not kept, but observers note the features could shift how comfortable people are with always-listening devices and raise unresolved issues around consent. The discussion centers on how awareness of potential recording changes behavior in everyday settings.
Apple held its fall hardware event, where the company's first foldable smartphone, the iPhone Duo, was the headline announcement. Apple also introduced an Apple Watch model that continuously listens for user input. Further product details and pricing were not specified in the report.
A German report says Apple is working on a feature, referred to as "Recaps," that would continuously track what a wearer is doing and turn that into summaries. The function is described as avoiding audio capture and being designed with privacy in mind. The same report mentions additional unconfirmed Apple Watch developments.